WO2003021462A1 - System and method for asynchronous client server session communication - Google Patents
System and method for asynchronous client server session communication Download PDFInfo
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- WO2003021462A1 WO2003021462A1 PCT/US2002/025729 US0225729W WO03021462A1 WO 2003021462 A1 WO2003021462 A1 WO 2003021462A1 US 0225729 W US0225729 W US 0225729W WO 03021462 A1 WO03021462 A1 WO 03021462A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/338—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
- G06F16/986—Document structures and storage, e.g. HTML extensions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/174—Form filling; Merging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/274—Converting codes to words; Guess-ahead of partial word inputs
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/14—Session management
- H04L67/142—Managing session states for stateless protocols; Signalling session states; State transitions; Keeping-state mechanisms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
- H04L9/40—Network security protocols
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/023—Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
- G06F3/0233—Character input methods
- G06F3/0237—Character input methods using prediction or retrieval techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/205—Parsing
- G06F40/211—Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/33—Intelligent editors
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/131—Protocols for games, networked simulations or virtual reality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/30—Definitions, standards or architectural aspects of layered protocol stacks
- H04L69/32—Architecture of open systems interconnection [OSI] 7-layer type protocol stacks, e.g. the interfaces between the data link level and the physical level
- H04L69/322—Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions
- H04L69/329—Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions in the application layer [OSI layer 7]
Definitions
- the invention relates generally to client-server communication systems, and particularly to a session-based bi-directional multi-tier client-server asynchronous search and retrieval system.
- a primary task of computer systems is to manage large quantities of information, generally referred to as data.
- the first computers typically stored data using off-line methods, for example by using punch cards and other primitive means.
- data were instead stored in central memory banks.
- the first enterprise-wide computer systems consisted of central computers containing central data storage, and a large number of user terminals that accessed this server data by sending input and receiving output as characters to be displayed or printed at the terminal. Although these systems had a primitive user interface and data access became increasingly slower as the number of users grew, these systems nevertheless handled enterprise data with ease and great security.
- the first servers often referred to as mainframes or mini computers, ran on proprietary operating systems.
- Terminals usually had large input buffers where input was only checked against or committed to the server after entering text into a page or form. Many systems only displayed the character entered after it was received and confirmed by the server.
- UMS Unix and VMS
- HTTP and related Internet-based client-serversystems do not provide continuous access to server data
- systems sometimes incorporate lookup tables and pre-defined values that are cached locally. For example, a list of possible countries to be selected by a user of a web page can be sent to the user's computer when that page is first sent to the user and used thereafter for subsequent country selections.
- Client-server applications often pre-read the data from the server the moment an application or application window is opened, in order to present users with selection lists the moment they need them. This poses problems for data that frequently changes over time since the client system may allow users to select or enter data that is no longer valid. It also poses problems for large selection lists whose transmission to the client may take a long time.
- a web browser may, for example be configured to rememberthe last pages a user visited by storing them in a local cache file.
- a clear disadvantage of keeping such a local cache is that it is only useful as long as the user stays on the same client computer system.
- the local cache may include references to web pages that no longer exist.
- Microsoft Word and certain e-mail programs include so-called 'spell checking as you type'. These programs automatically check the spelling of words entered while the user is typing. In a way, this can be seen as 'deferred auto-complete', where the word processor highlights words after they were entered, if they don't exist in a known dictionary. These spell checking programs often allow the user to add their own words to the dictionary. This is similar to the 'history lists' that are maintained for the auto-completion of URLs in a web browser, except that in this case the words are manually added to the list of possible 'completions' by the user.
- OpenDoc a collaboration between Apple Computer, Inc. and IBM Corporation (amongst others) to allow development of software components that would closely interact, and together form applications.
- OpenDoc a collaboration between Apple Computer, Inc. and IBM Corporation (amongst others) to allow development of software components that would closely interact, and together form applications.
- One of the promises of OpenDoc was that it would allow small developers to build components that users could purchase and link together to create applications that do exactly what the users want, and would make existing 'bloat-ware' applications (notably Microsoft Office and Corel's WordPerfect Office/Corel Office) redundant, but the technology was dropped several years ago in favor of newer technologies such as CORBA (Common Object Request Broker Architecture), developed by the Object Management Group to allow transparent communication and interoperability between software components.
- CORBA Common Object Request Broker Architecture
- NeXTStep operating system from NeXT Computer, Inc. (which was later acquired by Apple Computer, Inc. and evolved into the Mac operating system Mac OS X) had an object-oriented architecture from its original beginnings, that allowed software developers to create applications based on predefined, well-tested and reliable components.
- Components could be 'passive' user interface elements (such as entry fields, scroll areas, tab panes etc) used in application windows.
- components could also be active and show dynamic data (such as a component displaying a clock, world map with highlight of daylight and night, tickertape showing stock symbols, graphs showing computer system activity, etc.).
- Apple Computer, Inc. is an Internet application server with related development tools, which was first developed by NeXT Computer, Inc.
- WebObjects uses object oriented frameworks that allow distribution of application logic between server and client. Clients can be HTML-based, but can also be Java applets. WebObjects uses proprietary technology that automatically synchronizes application objects between client and server. The layer that synchronizes data objects between the client and the server is called the 'Enterprise Object Distribution' (EODistribution), part of Apple's Enterprise Objects Framework (EOF), and is transparent to the client software components and the server software components.
- EODistribution The layer that synchronizes data objects between the client and the server is called the 'Enterprise Object Distribution' (EODistribution), part of Apple's Enterprise Objects Framework (EOF), and is transparent to the client software components and the server software components.
- VNC Virtual Network Computing
- Citrix Winframe has taken the same idea a step further by incorporating intimate knowledge of the Microsoft Windows operating system (and its Win32 APIs) to further optimize synchronization of user input and application output on the server. It can then use this detailed knowledge of the Microsoft Windows APIs to only redraw areas of the screen that it knows will change based on a user action: for example, Winframe may redraw a menu that is pulled down by the user without needing to access the server application because it knows how a menu will work.
- the invention provides a system that offers a highly effective solution to the aforementioned disadvantages of both client-server and Internet systems by providing a way to synchronize the data entered or displayed on a client system with the data on a server system.
- Data input by the client are immediately transmitted to the server, at which time the server can immediately update the client display.
- systems built around the present invention can be divided into multiple tiers, each tier being capable of caching data input and output.
- a plurality of servers can be used as a middle-tier to serve a large number of static or dynamic data sources, herein referred to as "content engines.”
- the present invention may be incorporated in a variety of embodiments to suit a correspondingly wide variety of applications.
- the present invention can also be used to simply and quickly retrieve up-to-date information from any string-based content source. Strings can be linked to metadata allowing user interface components to display corresponding information such as, for example, the meaning of dictionary words, the description of encyclopedia entries or pictures corresponding to a list of names.
- Embodiments of the present invention can be used to create a user interface component that provides a sophisticated "auto-completion” or "type-ahead” function that is extremely useful when filling out forms.
- This is analogous to simple, client-side auto-complete functions that have been widely used throughout the computing world for many years.
- the auto-complete function analyzes the developing character string and makes intelligent suggestions about the intended data being provided. These suggestions change dynamically as the user types additional characters in the string. At any time, the user may stop typing characters and select the appropriate suggestion to auto-complete the field.
- an auto-complete function created by the present invention generates suggestions at the server as the user types in a character string. The suggestions may be buffered on a middle tier so that access to the content engine is minimized and speed is optimized.
- the present invention stores and retrieves the auto-complete suggestions from databases on the server.
- the suggestions generated by the server may, at the option of the application developer, be cached on the middle tier or on the client itself to maximize performance.
- the present invention provides better protection of valuable data than traditional methods, because the data is not present on the client until the moment it is needed, and can be further protected with the use of user authentication, if necessary.
- the present invention is also useful in those situations that require immediate data access, since no history of use needs to be built on the client before data is available. Indeed, data entered into an application by a user can automatically be made available to that user for auto-completion on any other computer, anywhere in the world.
- serverdata can be accessed through a single standardized protocol that can be built into programming languages, user interface components or web components.
- the present invention can be integrated into and combined with existing applications that access server data.
- QuestObjects provides a system for managing client input, server queries, server responses and client output.
- One specific type of data that can be made available through the system from a single source (or syndicate of sources) is a QuestObjects Service.
- QuestObjects Service is useful for retrieval of almost any kind of string-based data, including the following QuestObjects Service examples:
- Enterprise thesauri system. Enterprise search and retrieval systems. Enterprise reference works. Enterprise address books. Control systems for sending sensor readings to a server that responds with appropriate instructions or actions to be taken.
- Figure 1 shows a general outline of a system incorporating the present invention.
- Figure 2 shows a schematic of a system in accordance with an embodiment of the invention.
- Figure 3A shows a variety of stages in the usage of a sample
- Figure 3B shows an expanded view of a sample Questlet implementation in accordance with an embodiment of the invention.
- Figure 3C shows an expanded view of a sample Questlet implementation in accordance with an embodiment of the invention.
- Figure 4 shows a sequence diagram illustrating the use of a system in accordance with an embodiment of the invention.
- Figure 5A shows a first thread flow chart illustrating the interface between an active component and an embodiment of the invention.
- Figure 5B shows a second thread flow chart illustrating the interface between an active component and an embodiment of the invention.
- Figure ⁇ A shows a firstthread flow chart illustrating the client side of an embodiment of the invention.
- Figure 6B shows a second thread flow chart illustrating the client side of an embodiment of the invention.
- Figure 7A shows a first thread flow chart illustrating the server side of an embodiment of the invention.
- Figure 7B shows a second thread flow chart illustrating the server side of an embodiment of the invention.
- Figure 8A shows an object model of an embodiment of the present invention, displaying the base part.
- Figure 8B shows an object model of an embodiment of the present invention, displaying the client part.
- Figure 8C shows an object model of an embodiment of the present invention, displaying the server part.
- Figure 8D shows an object model of an embodiment of the present invention, displaying the service part.
- Figure 9 shows a schematic of an application proxy system that enables the use of the invention in various client environments.
- the invention provides a session-based bi-directional multi-tier client-server asynchronous information database search and retrieval system for sending a character-by-character string of data to an intelligent server that can be configured to immediately analyze the lengthening string character-by-character and return to the client increasingly appropriate database information as the client sends the string.
- the present invention includes a system that offers a highly effective solution to an important disadvantage of both client-server and Internet systems:
- the present invention provides a standardized way to immediately synchronize the data entered or displayed on a client system with the data on a server system. Data input by the client is immediately transmitted to the server at which time the server can immediately update the client display.
- systems built around the present invention can be divided into multiple 'tiers' each capable of caching data input and output. Any number of servers can be used as a middle-tier to serve any number of static or dynamic data sources (often referred to as "Content Engines").
- the present invention is useful for an extremely wide variety of applications. It offers a standardized way to access server data that allows immediate user-friendly data feedback based on user input. Data can also be presented to a client without user input, i.e. the data is automatically 'pushed' to the client. This enables a client component to display the data immediately or to transmit it to another software program to be handled as required.
- the present invention is also particularly useful for assistance in data entry applications, but can also be used to simply and quickly retrieve up-to-date information from essentially any string-based content source. Strings can be linked to metadata allowing user interface components to display corresponding information such as the meaning of dictionary words, the description of encyclopedia entries or pictures corresponding to a list of names. [0054] In some embodiments, the present invention can be used to create a user interface component that provides a sophisticated "auto-completion" or "type-ahead” function that is extremely useful when filling out forms. Simple, client-side auto-complete functions have been widely used throughout the computing world for many years.
- the auto-complete function analyzes the developing character string and makes "intelligent" suggestions about the intended data being provided. These suggestions change dynamically as the user types additional characters in the string. At anytime, the user may stop typing characters and select the appropriate suggestion to auto-complete the field.
- the present invention vastly expands the usefulness and capabilities of the auto-complete function by enabling the auto-complete data, logic and intelligence to reside on the server thus taking advantage of server-side power.
- an auto-complete function created by the present invention pushes suggestions from the server as the user types in a character string.
- the suggestions may be buffered on a middle tier so that access to the content engine is minimized and speed is optimized.
- the present invention stores and retrieves the auto-complete suggestions from databases on the server.
- the suggestions generated by the server may, at the option of the application developer, be cached on the middle tier or one the client itself to maximize performance.
- the present invention provides better protection of valuable data because the data is not present on the client until the moment it is needed and can be further protected with a user authentication mechanism, if necessary.
- the present invention is useful for immediate data use, since no use history must be built on the client before data is available. Indeed, data entered into an application by a . user can automatically be made available to that user for auto-completion on any other computer anywhere in the world.
- serverdata can be accessed through a single standardized protocol that can be built into programming languages, user interface components or web components.
- the present invention can be integrated into, and combined with, existing applications that access server data. Using Content Access Modules, the present invention can access any type of content on any server.
- QuestObjects an embodiment of the present invention is referred to as QuestObjects, and provides a system of managing client input, server queries, server responses and client output.
- a QuestObjects Service One specific type of data made available through the system from a single source (or syndicate of sources) is referred to as a QuestObjects Service.
- Other terms used to describe the QuestObjects system in detail can be found in the glossary below:
- Active Component - Part of a software program that accesses the QuestObjects system through one or more Questers. Active Components may provide a user interface, in which case they're referred to as Questlets.
- AppHost Synchronizer - Part of the QuestObjects Server that allows the Application Proxy access to data in Server Questers.
- Application Proxy- An optional method implemented by the QuestObjects Server allowing the use of the QuestObjects system in client systems that do not allow the QuestObjects - Client components to communicate to the application server or web server directly.
- Client Controller - A QuestObjects Controller on a QuestObjects Client.
- Client Quester - A Quester on a QuestObjects Client that has a Server Quester as its peer.
- Client Session - A temporary container of information needed to manage the lifespan of Server Questers in a QuestObjects Server.
- Content Access Module - A part of a Content Channel that provides a standardized API to access specific types of Content Engines.
- Content-based Cache A persistent store of Queries and corresponding Result Sets executed by a Content Engine for a specific Content Channel.
- Content Channel A part of the QuestObjects system that provides one type of information from one Content Engine. Consists of a Query Manager and a Content Access Module, linking a Content Engine to the QuestObjects system.
- Content Engine A dynamic data source that provides data to a Content Channel by accessing its own database or by querying other information systems.
- Query Filter A filter specified by a Query Manager in a specific Service used to tell the Server Quester to interpret incoming strings before they are sent to the Service as a QuestObjects Query.
- Query Manager An intelligent part of a Content Channel that interprets QuestObjects Queries and sends them to a Content Engine (through a Content Access Module) or retrieves results from the Content-based Cache in a standardized way.
- the Query Manager can also send a list of Query Patterns and Query Filters to the Server Quester, allowing the Server Quester to match and filter new Queries before they are sent to the Content Channel.
- Query Pattern - A string-matching pattern (such as a unix-style grep pattern) specified by a Query Manager in a specific Service used to tell the Server Quester to interpret incoming strings before they are sent to the Service as a QuestObjects Query.
- Persistent Quester Store A dynamic database of Questers that is maintained on the QuestObjects Server, allowing Questers to be stored across Client sessions whereby the state and contents of the Client are automatically restored when a new Client Session is started.
- Quester An intelligent non-visual object contained by an Active Component that links a QuestObjects StringList to an input buffer. Questers exist on both the QuestObjects Client and the QuestObjects Server and can be specifically referred to as Client Quester and Server Quester. Questers communicate with each other through a QuestObjects Controller.
- Questlet A User Interface Element that accesses the QuestObjects system through one or more Questers.
- QuestObjects Adaptor An optional software component for existing application servers and web servers that allows these servers to use data entered into the QuestObjects system by users of client systems and web browsers that require an Application Proxy.
- QuestObjects Client Part of the QuestObjects system that functions as the client tier consisting of one or more Client Questers and a Client Controller that communicates to a QuestObjects Server.
- QuestObjects Controller An intelligent non-visual component that provides the interface between Questers on QuestObjects Clients and QuestObjects Servers.
- QuestObjects Controllers implement the protocol of the present invention.
- QuestObjects Query A string created by the Server Quester with optional qualifier and the requested row numbers forming a query to be executed by a specified QuestObjects Service.
- QuestObjects Result Set A set of StringLists with corresponding Query returned from the QuestObjects Service, returned in batches to the Client
- QuestObjects Server Central part of the QuestObjects system that provides the link between any number of QuestObjects Clients, any number of QuestObjects Services, and any number of other QuestObjects Servers. Maintains Client Sessions that QuestObjects Clients communicate with through the Server Controller. Provides services such as caching, replication and distribution.
- QuestObjects Service ⁇ One of the Content Channels provided by a specific Syndicator.
- QuestObjects String - Sequence of Unicode characters with standardized attributes used by the QuestObjects system.
- QuestObjects StringList - Container for a set of QuestObjects Strings retrieved from a QuestObjects Service with standardized attributes needed by the QuestObjects System.
- QuestObjects User - Person or process accessing the QuestObjects system from the QuestObjects Client, optionally authorized by the
- Server Controller A QuestObjects Controller on a QuestObjects Server.
- Server Quester A Quester on a QuestObjects Server that has a Client
- User Interface Element - A visual and optionally interactive component in a software program that provides an interface to the user.
- the present invention provides a system that allows clients or client applications to asynchronously retrieve database information from a remote server of server application.
- client and “server” are used herein to reflect a specific embodiment of the invention although it will be evident to one skilled in the art that the invention may be equally used with any implementation that requires communication between a first process or application and a second process or application, regardless of whether these processes comprise a typical client-server setup or not.
- the invention includes a Server, that handles requests for information from clients, and a communication protocol that is optimized for sending single characters from a Client to the Server, and lists of strings from the Server to the Client.
- the Server receives a single character from the Client, it immediately analyzes the lengthening string of characters and , based on that analysis, returns database information to the Client in the form of a list of strings.
- Clients are not restricted to programs with a user interface.
- any process or mechanism that can send characters and receive string lists can be considered a client of the system.
- the control system of a power plant could send sensor readings to the system, and in return receive lists of actions to be taken, based on those sensor readings.
- the system's protocol is not restricted to sending single characters.
- Clients can also use the protocol to send a string of characters. For example, when a user replaces the contents of an entry field with a new string, the Client may then send the entire string all at once to the Server, instead of character by character.
- the system is session-based, in that the server knows or recognizes when subsequent requests originate at the same Client. Thus, in responding to a character the Server receives from a Client it can use the history of data that has been sent to and from the current user.
- the system stores user preferences with each Service, so that they are always available to the Client, (i.e., they are independent of the physical location of the client).
- the system is bi-directional and asynchronous, in that both the Client and the Server can initiate communications at any moment in time.
- the functionality of the system is such that it can run in parallel with the normal operation of clients. Tasks that clients execute on the system are non-blocking, and clients may resume normal operation while the system is performing those tasks.
- a communication initiated by the Client may be a single character that is sent to the Server, that responds by returning appropriate data.
- An example of a communication initiated by the Server is updating the information provided to the client. Because the system is session-based it can keep track of database information that has been sent to the Client. As information changes in the database, the Server sends an updated version of that information to the Client.
- Embodiments of the system may be implemented as a multi-tier environment This makes it scalable because the individual tiers can be replicated as many times as necessary, while load balancing algorithms (including but not limited to random and round robin load-balancing) can be used to distribute the load over the copies of the tiers.
- load balancing algorithms including but not limited to random and round robin load-balancing
- Figure 1 illustrates the general outline of a system that embodies the present invention.
- FIG 1 there may be various Clients 101 using the system.
- These Clients use a communication protocol 102 to send information, including but not limited to single characters, and to receive information, including but not limited to lists of strings and corresponding metadata.
- At least one Server 103 receives information from the Client, and sends information to the Client.
- the system can be designed so that each Client connects to only one of them, which then relays connections to other Servers, possibly using load-balancing algorithms.
- Servers have a communication link 104 to a Service 105, which they use to obtain the information that they send to the Client.
- Figure 2 is a schematic illustrating an embodiment of the present invention, and displays a five-tier system that has a user interface in which user interface elements use the present invention to assist the user in performing its tasks.
- Figure 2 displays just one session and one content Service. In an actual implementation there may be multiple concurrently active sessions, and there may be more than one content Service that Clients can use.
- the first of the five tiers is a Client tier 201.
- the Client tier contains the user interface and the Client components that are needed to use the system.
- the second tier is a Server or server process 206, which handles the queries that Clients execute, and in return displays results to the Client.
- the Service 213, which corresponds to 105 of Figure 1 is a logical entity consisting of three more tiers: a Syndicator 214, a Content Channel 219 and a Content Engine 224.
- the Syndicator provides access to a number of Content Channels and performs accounting services based on actual data use.
- the Content Channel provides a specific type of information from a specific source (i.e. the Content Engine).
- the Content Engine is the actual source of any content that is made available through the QuestObjects system.
- the Client tier 201 corresponds to the client 101 in Figure 1.
- the Client may be an application (and in some embodiments a web application) with a user interface that accesses the system of the present invention.
- a user interface element that uses the present invention is referred to as a "Questlet.”
- a Client can contain one or more Questiets 202 (e.g. an input field or a drop down list. Figure 3 described later contains three examples of such Questiets.
- a Questlet is always associated with at least one Client Quester 203. Questers are objects that tie a QuestObjects input buffer (containing input from the Client) to a QuestObjects Result Set returned from a QuestObjects Server. Questers exist on both the Client and Server, in which case they are referred to as a Client Quester and a Server Quester, respectively. Every Client Quester has one corresponding Server Quester.
- any event or change that happens in either one of them is automatically duplicated to the other so that their states are always equal.
- This synchronization mechanism is fault-tolerant so that a failure in the communication link does not prevent the Questers from performing tasks for which they do not need to communicate.
- a Client Quester can retrieve results from the cache, even if there is no communication link to the Server.
- Each single Quester accesses exactly one QuestObjects Service, i.e. one specific Content Channel offered by one specific Syndicator.
- the Questlet tells its Quester which Service to access.
- a Service is stored or made available on only one Server within a network of Servers. However, this is transparent to the Client because each Server will forward requests to the right computer if necessary. The Client does not need to know the exact location of the Service.
- each Quester in a session uses a controller 204.
- the system contains at least one Client Controller 204 and a Server Controller 209, which together implement the network communication protocol 205 of the present invention.
- Client Controllers may cache results received from a Server, thus eliminating the need for network traffic when results are reused.
- Client Questers are managed by a Questlet, which create and destroy Questers they need.
- Server Questers are managed by a Session 207. When a Client Quester is created, it registers itself with the Client Controller.
- a Time Server 211 provides a single source of timing information within the system. This is necessary, because the system itself may comprise multiple independent computer systems that may be set to a different time.
- Server communication link 212 is used by the Serverto send requests for information to a Service, and by a Service to return requested information.
- Requests for information are Query objects that are sent to and interpreted by a specific Service.
- Query objects contain at least a string used by the Service as a criterion for information to be retrieved, in addition to a specification of row numbers to be returned to the Client. For example, two subsequent queries may request row numbers 1 through 5, and 6 through 10, respectively.
- a query object may also contain a Qualifier that is passed to the appropriate Service.
- Qualifier contains attributes that are needed by the Service to execute the Query. Qualifier attributes may indicate a desired sort order or in the example of a thesaurus Service may contain a parameter indicating that the result list must contain broader terms of the Query string. Services use the communication link to send lists of strings (with their attributes and metadata) to Servers. Server communication link 212 is also used by
- Questers use Services to obtain content.
- a Service is one of the Content Channels managed by a Syndicator. When a Quester is initialized, it is notified by its Active Component of the Service it must use. The Service may require authentication, which is why the Syndicator provides a User Manager 215. If a Client allows the user to set preferences for the Service (or preferences needed by the Active Component), it may store those preferences using the Syndicator's Preference Manager 216. The Server (i.e. Server Quester) only uses the Syndicator for authentication and preferences. To obtain content, it accesses the appropriate Content Channel directly. The Content Channel uses its Syndicator to store usage data that can be later used for accounting and billing purposes. Usage data is stored in a Usage Statistics Store 217.
- Content communication link 218 is used by Content Channels to send usage data to their Syndicator, and to retrieve user information from the Syndicator.
- the Content Channel is a layer between the QuestObjects System, and the actual content made available to the system by a Content Engine 224.
- Each Content Channel has a corresponding Query Manager 220 that specifies the type of query that can be sent to the corresponding Content Engine, and defines the types of data that can be returned by the Content Channel.
- Specification of query type comprises a set of Query Patterns and Query Filters that are used by the Server Quester to validate a string before the string is sent to the Content Channel as a QuestObjects Query.
- a query type "URL" may allow the Server Quester to check for the presence of a complete URL in the input string before the input string is sent to the Content Channel as a query.
- a query type "date” might check for the entry of a valid date before the query is forwarded to the Content Channel.
- the Query Manager optionally defines the types of string data that can be returned to the Client by the Content Channel. Specific Active Components at the Client can use this information to connect to Services that support specific types of data. Examples of string types include: simple terms, definitional terms, relational terms, quotes, simple numbers, compound numbers, dates, URLs, e-mail addresses, Preformatted phone numbers, and specified XML formatted data etc.
- the Query Manager 220 retrieves database information through a Content Access Module 221.
- the Content Access Module is an abstraction layer between the Query Manager and a Content Engine. It is the only part of the system that knows how to access the Content Engine that is linked to the Content Channel. In this way, Query Managers can use a standardized API to access any Content Engine.
- Content Channels may access a content-based cache 222 in which information that was previously retrieved from Content Engines is cached.
- Engine communication link 223 is used by Content Access Modules to communicate with Content Engines.
- the protocol used is the native protocol of the Content Engine. For example, if the Content Engine is an SQL based database system then the protocol used may be a series of SQL commands.
- the Content Access Module is responsible for connecting the Content Engine to the QuestObjects System.
- Content Engines 224 are the primary source of information in the system. Content Engines can be located on any physical computer system, may be replicated to allow load balancing, and may be, for example, a database, algorithm or search engine from a third-party vendor. An example of such an algorithm is Soundex developed by Knuth. Content Engines may require user authentication, which, if required, is handled by the Syndicator (through the Content Access Module).
- the invention uses Content Engines as a source of strings. One skilled in the art would understand that a string may, for example, contain a URL of, or a reference to any resource, including images and movies stored on a network or local drive.
- strings may have metadata associated with them.
- strings might have a language code, creation date, modification date, etc.
- An entry in a dictionary may have metadata that relates to its pronunciation, a list of meanings and possible uses, synonyms, references, etc.
- Athesaurusterm may have a scope note, its notation, its source and its UDC coding as metadata, for example.
- Metadata of an encyclopedia entry may include its description, references, and links to multi-media objects such as images and movies.
- a product database may have a product code, category, description, price, and currency as metadata.
- a stock quote may have metadata such as a symbol, a company name, the time of the quote, etc.
- Instructions to a control system may contain parameters of those instructions as metadata. For example, the instruction to open a valve can have as metadata how far it is to be opened.
- Figures 3A-3C contain three examples of the Questiets that can be used with the system, i.e., the User Interface Elements that access the QuestObjects system.
- Figure 3A a series of representations of an auto-completing entry field are shown, such as might be used in an application window or on a web form, that accesses a single QuestObjects Service, and allows for auto-completion of, in this example, a U.S. state name.
- Figures 3B and 3C depict two different presentation forms of the same complex Questlet that access a number of QuestObjects Services simultaneously.
- QuestObjects Services in an application As shown in Figure 3A, and particularly in the auto-complete entry field example screen element 302, clear symbols are displayed at the right end of the field.
- a small disclosure triangle 308 is displayed in the lower right-hand corner, and serves as an indicator to the user that a QuestObject is being used.
- a reserved space herein referred to as the "status area”, and located above the disclosure triangle 301 is used to display information about the state of the QuestObjects system.
- the successive shots of this screen element 302 through 307 show some of the different kinds of states in this status area.
- Screen element 302 depicts an empty data field with an empty status area.
- the screen element 303 shows the same field immediately after the user enters a character "N".
- the Questlet On receiving the "N nput, the Questlet immediately checks its internal entry cache for available auto-complete responses. If the cache does not contain a valid string (either because the cache is empty, because the cache is incomplete for the entry character, or because one or more cached strings have expired) the QuestObjects system sends a query to the QuestObjects Service. This sending process is indicated by a network access symbol in the status area 304 which is in this embodiment takes the form of a left and right facing arrows. [0081] Screen element 305 shows the entry field after the Server has sent one or more auto-complete strings back to the Questlet. This example situation is typical of these instances in which the user did not enter a second character after the original "N" before the QuestObjects system responded.
- the QuestObjects system is inherently multi-threaded and allows the user to continue typing during access of the QuestObjects Service.
- the screen element status area of 305 now displays a small downward facing arrow indicating that there are more available auto-complete answers. In this case, the entry field has displayed the first one in alphabetic order.
- Screen element 306 shows the same entry field afterthe user has hit the down arrow key or clicked on the arrow symbol in the status area.
- the next available auto-complete response in alphabetical order is displayed.
- the double up and down pointing arrows in the status area now indicate that both a previous response (in this example, "Nebraska") and a next response are available.
- Screen element 307 shows the same entry field afterthe user has typed two additional characters, "e” and "v".
- the status area changes to a checkmark indicating that there is now only one available auto-complete match for the characters entered.
- the user can at any point use the backspace key on their keyboard (or perform other actions defined in the Questlet) to select different states, or can leave the entry field to confirm his selection.
- the system may do several things. It can automatically accept the string "Nevada” and allow the user to move on with the rest of the entry form; or if it has been configured such it may decide to replace the string "Nevada” by the two-character state code.
- the QuestObjects Service not only returns strings, but also any corresponding metadata.
- This example of an auto-complete entry field Questlet is based on showing the response string, but other Questiets (and even invisible Active Components) may perform an action invisible to the user.
- a response sent to one Questlet can trigger a response in other Questiets that have a pre-defined dependency to that Questlet. For example, entering a city into one Questlet can trigger another Questlet to display the corresponding state.
- left, right, up and down arrows are used to indicate usually the status of the QuestObject field, other mechanisms of showing the status within the scope and spirit of the invention.
- Interdependent data (which in the context of this disclosure is that data originating from a multitude of QuestObjects Services) can be combined into a complex Questlet.
- Examples 309 shown in Figure 3B and example 313 shown in Figure 3C show a complex user interface element (Questlet) that makes multiple QuestObjects Services available to the user.
- the upper part of the Questlet is an entry field that may offerthe auto-complete functionality described in Figure 3A.
- the user interface allows the user to choose a vertical presentation mode 309, shown in Figure 3B or a horizontal presentation mode 313, shown in Figure 3C for the Questlet.
- a close box 310 replaces the disclosure triangle in the entry field, allowing the user to close areas 311 and 312.
- Area 314 shows a certain QuestObjects Service, in this case a list of "Recent Terms" accessed by the user.
- This Questlet allows the user to select a different QuestObjects Service for area 314 by selecting it from a popup list 319.
- an appropriate second Service might be "Alphabetic Listing".
- area 312 displays a
- Questiets in many forms.
- Thesaurus browser Questiets generally display interactive lists of related terms. Questiets can also allow users to lookup data in a reference database (dictionary, encyclopedia, product catalog, Yellow Pages, etc.) made available as a QuestObjects Service.
- Questiets can access QuestObjects Services that provide a standardized interface to search engines. These search engines may be Internet-based or can be built into existing database servers. Questiets can also access pre-defined functions made available as QuestObjects Services (such as a bank number check, credit card validation Service or encryption/decryption Service). Questiets can even access translation Services allowing on-the-fly translation of entry data.
- Questiets can retrieve multi-media data formats by receiving a URL or pointer to multi-media files or streaming media from a QuestObjects Service.
- Questiets can be used to display current stock quotes, news flashes, advertisements, Internet banners, or data from any other real-time data push Service.
- Questiets can provide an auto-complete or validity checking mechanism on the data present in specific fields or combinations of fields in relational database tables. [0087] As described above, Questiets are well suited to represent QuestObjects data visually. However, a QuestObjects Client system can also contain non-visual Active Components, such as function calls from within a procedure in a program to access a QuestObjects Service.
- a program that needs to display a static or unchanging list of strings can use a Quester in its initialization procedure to retrieve that list from a QuestObjects Server.
- a Quester By calling a Quester, a stored procedure in a database can make a QuestObjects Service available to any database application.
- a QuestObjects Service By encapsulating a Quester into an object supplied with a programming language, a QuestObjects Service can be made available to its developers.
- Another example of how QuestObjects Services may be accessed is through a popup menu that a user can access by clicking on a word, phrase or sentence in a document.
- the popup menu can include one or more QuestObjects Services by calling one or more Questers.
- a sound conversion engine that translates speech input into phonemes can be used to send these phonemes to a QuestObjects speech recognition Service through a Quester.
- a control system can use a Quester to send sensor readings to a Server, which then queries a special purpose content engine to return actions that the control system must perform given the sensor readings.
- Figure 4 shows a simplified event life cycle illustrating what happens in a QuestObjects system using an auto-complete Service.
- the protocol of the present invention is implemented in the Client Controller and the Server Controller 400.
- an Active Component on the Client tells its Quester to start or initialize 401 a corresponding Client Session on the current QuestObjects Server by sending a Register message to its Client Controller.
- the Server Controller starts a Client Session if it has not been started already.
- the event trace of Figure 4 does not show typical error handling that normally occurs, for instance when a Session cannot be started.
- the Session may restore the Quester from a Persistent Quester Store, which may even cause a Query to be triggered immediately if the Result Set in the Quester is out of date.
- the Server Quester looks up the Service in the Server's list of known QuestObjects Services, which may or may not be located on the same computer. Once the Service is found, the Client is registered and optionally authenticated by the Service. At this time, the Service 402 returns information to the Server Controller at which time the Client receives a confirmation that it was registered successfully. The Active Component can now start using the Quester it has just initialized. If the Active Component has a user interface (i.e.
- the next step in the process is to capture user input. As shown in Figure 4, at point 403 a character event is generated to indicate the user has typed a character 'a' into the Questlet.
- the Quester sends a message to its Client Controller telling it that character 'a' must be appended to the input buffer (it will be evident to one skilled in the art that if the cursor is not at the end of the input string, typing 'a' would, for example, generate a different event to insert the character instead of append it).
- the Client Controller uses the protocol to synchronize the input buffer in the Server Quester by communicating to the Server Controller.
- the Server Controller may look up query 'a' in its Result Set cache, in which case it can return a previous Result Set to the Client without accessing the Service. Also, depending on any rules specified by the Service (as specified by a list of Query Patterns and Query Filters defined in the Query Manager of the Content Channel) and depending on the time interval between input buffer changes, the Server Quester may decide not to immediately send the (perhaps incomplete) string to the Service, as shown here.
- An additional character event 404 is generated when the user has typed a second character 'b' into the Questlet.
- a corresponding event arrives at the Server Quester.
- the Server Quester may deduct that the input string represents a valid query and send the appropriate query message 'ab' to the Service.
- the Service executes it by accessing its Content Engine through the Content Access Module unless the Query Manager was able to lookup the same Query with a Result Set in the Content-based Cache.
- the Service will return it to the Client. In some embodiments, a large Result Set may be returned to the Client in small batches.
- an incomplete Result Set may also be returned if the Content Engine takes a long time to come up with a batch of results.
- a QuestObjects Service may automatically 'push' updated information matching the previous query to the Client as it becomes available.
- a Query can also be set to auto-repeat itself 406 if necessary or desired.
- a second and possibly third result set from the previous query is on its way to the Client.
- the Client Controller decides 408 that the received Result Set 'ab' no longer matches the current input string 'abc', the second update of 'ab' is not transmitted to the Active Component.
- the Client Controller may still send the second and third Result Sets to the Active Component if the second query 'abc' matches the first string of the Result Set for the first query 'ab' 409. In that case, the user typed a character that matched the third character in the second or third Result Set, thus validating the Result Sets for the second query.
- the Server Quester receives notice of the third character appended to the input buffer, and sends a new query 'abc' to the Service.
- the Server Quester will stop the 'repeating' of query 'ab' and the Service will now execute 410 the new query 'abc' at the Content Engine, or retrieve it from the Content-based Cache.
- FIG. 5 depicts a flow chart illustrating the interface between an Active Component and the present invention.
- a Client Quester is initialized (step 501) in which each active component is associated with one or more Client Questers.
- a loop is then entered that exits when the Active Component is destroyed (step 502).
- events are sent to the Client Quester (step 503), such as keyboard events, click events and focus events (i.e. events that tell the system which user interface element currently has input focus).
- events are sent to the Client Quester, they may result in return events from the Client Quester, such as events informing that the Result Set of the Client Quester has changed. Those events are received by the event receiver (step 504).
- FIG. 6 shows a flow chart illustrating the Client side of the present invention. First, the Client Quester registers itself with the Client Controller (step 601 ). It then enters a loop that exits when the Client Quester is destroyed (step 602). When that happens, the Client Quester deregisters itself from the Client Controller (step 603).
- the Client Quester handles events from the Active Component it belongs to. First, it waits for an event and receives it (step 604). Then the type of the event is checked (step 605). If it is not a character event, it is handled depending on the type and content of the event (step 606). An example of a non-character event is a double-click on the input string, the click of a button that clears the input buffer, the addition of characters to the input buffer by a paste-action etc. If the event is a character event, the input buffer is updated accordingly and Client Questers that have dependencies with the input buffer or the Result Set also are notified (step 607). [0095] The next step is to get results based on the new input buffer.
- the Client Quester checks if the results are present in the client-side cache, which usually is a fast short-term in-memory buffer (step 608); if so, they are retrieved from the cache (step 609) and the Active Component is notified of the results (step 610). If the results are not found in the cache, the Client Quester uses the Client Controller to send the new input buffer to the Server Quester, so that a new query can be executed (step 611 ). To support this, the protocol of the present invention provides a number of messages that allow the Client Quester to send just the changes to the input buffer, instead of sending the entire input buffer.
- Client Quester activates the result retriever to wait for new results and process them (step612).
- the Client Quester is intended to be multi-threaded, so that it can continue providing its services to its Active Component while it waits for results from the QuestObjects Server. Therefore, the Result retriever can be implemented to run in a separate thread of execution. In this embodiment the Result Retriever waits for results from the Server Quester (step 613).
- the first thing a Server Quester does when it is created, is to check whether its attributes can be restored from the Persistent Quester Store (step 701 ), based on the parameters with which it is created. If the attributes can be restored, they are restored and registered with its corresponding Service (step 702). In accordance with one embodiment, one of the restored attributes is a Result Set attribute; the Server Quester checks whether it is still up to date (step 703). If not, a query is sent to the corresponding Service if it is a pushing service or if the Query was originally set to be auto-repeating (step 704) and (in a separate thread of execution) the Server Quester waits for the results of that query and processes them (step 705).
- the Server Quester's attributes could not be restored, it initializes itself and registers itself with the correct service which is one of the initialization parameters (step 706). If the Client Quester was created with a default input buffer, the Server Quester may automatically send the corresponding Query to the Service. At this point, the initialization process is complete and the Server Quester enters a loop that exits when the Quester is destroyed (step 707). During the loop, the Server Quester checks whether the Query String is valid, using the validation attributes of the Service (Query Pattern and Query Filter) (step 708). If the query is valid, the Server Quester checks if the server-side cache has the results for the Query String (step 709). If not, a new Query is sent to the Service (step 710). After that, the results are retrieved (either from cache or from the Service) and processed (step 711).
- the Server Quester After validating (and possibly processing) the Query String, the Server Quester waits for messages from the Client Quester notifying of changes to the input buffer (step 712). If such a message is received, the input buffer is updated accordingly (step 713), and the loop is re-entered (step 708).
- the processing of query results is performed in a separate thread of execution.
- the process performed in this thread starts by obtaining the Result Set (step 714), either from the server-side cache or from the Service depending on the result of the decision in step 709.
- results are obtained (step 715)
- they are sent to the Client Quester (step 716) either as part of the Result Set or as the entire Result Set, depending on parameters set by the Client Quester and are stored in the server-side cache (step 717).
- the Service is notified of actual results that have been sent to the client (step 718). If the results were pushed by the Service (step 719), this thread starts waiting for new results to be processed; otherwise, the thread stops.
- Figures 8A-8D illustrate and object model of an embodiment of the present invention.
- Figure 8A illustrates the base portion of the model containing the entities that are not specific to either QuestObjects Clients, QuestObjects Servers, or QuestObjects Services.
- Figure 8B displays the entities that are specific to the QuestObjects client.
- Figure 8C contains the entities specific to the QuestObjects Server.
- Figure 8D shows the entities specific to the QuestObjects Service.
- UML Unified Modelling Language
- the base part of the system - depicted in Figure 8A - comprises entities that are not specific to one of the tiers of the QuestObjects system.
- QoString the QuestObjects String.
- QoString models the strings that the QuestObjects System handles.
- a QoString has at least a value, which is the sequence of (Unicode) characters itself. To guarantee a minimum performance level, i.e. one in which the communication takes as little time as possible, this value has a limited length (e.g. of 256 characters).
- a QoString may have a key and metadata. The key (if any is present) is the identifier (i.e.
- Metadata of a QoString can be any additional data that is provided with the QoString's value. Metadata of a QoString is XML formatted and has a limited length (e.g. 2048 bytes), in order to ensure that QoStrings can be exchanged between the tiers of the QuestObjects System without compromising efficiency. If the QoString originates from a Content Channel, it may also have a fetchTime, namely the timestamp of when the QoString was retrieved from the underlying content provider.
- a QoString can have a type, which is a reference to a QoType object. (Note that for maximum efficiency the types are not actually stored in the QoStrings, because it is very likely that many QoStrings in a QoResultSet have the same type. Storing the types in the strings would unnecessarily increase network traffic.) [0104]
- the QoType object models the concept of a string's type. It has a string typeString that contains the description of the type and an indicator typelndicator that defines the meaning of the description (typeString).
- Examples of string types are: the DTD or Schema of the string's value in these cases in which it is XML formatted (or, alternatively, the URL of the DTD or Schema), the number formatter in the case it is a number, and the date (and/or time) formatter in the case it is a date (and/or time).
- Table 1 shows an example of the use of types, especially type indicators.
- bit 7 of the typelndicator is on if typeString is XML related
- bit 6 is on if typeString is some formatter
- bit 5 is on when typeString is a URL.
- This name must follow the same naming scheme as Java packages: They must use the Internet domain name of the one who defined the type, with its elements reversed. For example, custom types defined by MasterObjects would begin with "com.masterobjects.”.
- the QoQuery entity models the specification of a
- QuestObjects Query It includes a queryString that contains the value the Content Channel is queried for (which is named queryString in the figure).
- QoQuery has a property 'qualifier' that can hold any other attributes of the query. The format and meaning of the qualifier's contents is defined by the Content Channel that executes the query. Furthermore, it can be specified which row numbers of the total result set must be returned using the property 'rownums'.
- the property 'requestedTypes' can optionally hold a list of QoTypes, limiting the types of the strings that will result from the query.
- the 'timeout' property can be used to specify a maximum amount of time execution of the query may take.
- Queries may include a type (QoQuerytype).
- Query types are similar to QoType (i.e. String Types), and can be used by QuestObjects Clients to find all QuestObjects Services that support a certain kind of Query.
- QuestObjects Result Sets are collections of QuestObjects Strings that are sent from a QuestObjects Server to a QuestObjects Client in response to a query.
- QoResultSets are created and filled by a QuestObjects Service (to which QoResultSet has a reference named 'service'), based on the QoQuery to which the QoResultSet has a reference.
- Actual results are stored as an array of QoStrings in the 'strings' property.
- Elements of the QuestObjects Result Set i.e. QoStrings
- QoStrings may be selected, as indicated by the 'selected' property that is a list of indices in the strings array of selected strings.
- one of the QoStrings may be marked as current as indicated by the 'current' property. (When a QoString is marked as current it means that all operations are performed on that QoString, unless another one is explicitly specified.)
- QuestObjects Result Sets include an attribute 'ordered' that indicates whether the QoStrings in the QoResultSet are ordered. Sometimes, especially when a QuestObjects Result Set is narrowed down by a new Query, the fact that the QoResultSet is ordered may mean that the QuestObjects Client does not need to actually execute a new Query; instead, it can filter the previous QuestObjects Result Set itself according to the new queryString. [0109] As further described below, Server Questers may have a
- the 'rownums' property of QoResultSet indicates the row numbers of QoStrings that are actually present in the QoResultSet.
- the rownums property may have different values for corresponding QoResultSets on the QuestObjects Server and the QuestObjects Client. The same holds for the 'strings' property.
- the 'complete' property is the percentage of the QoStrings in the server-side QoResultSet that is present in the corresponding client-side QoResultSet as well.
- the property 'totalNumberOfStrings' indicates the total number of QoStrings in the QoResultSet, whether actually present or not. For server-side QoResultSets this number is always equal to the length of the 'strings' array, but for client-side QoResultSets the number may be smaller.
- result sets include an identifier 'resultSetld'. Every time a Client Quester uses the protocol of the present invention to send something to the Server Quester that may result in a new QuestObjects Result Set, it includes a request identifier. This identifier is then copied in the resultSetld when the QuestObjects Result Set is sent to the Client Quester. In this way Client Questers know which request the QuestObjects Result Set belongs to. (This is important because the system is asynchronous and on occasions it may occur that a newer QuestObjects Result Set is sent to the client before an older one. The request identifier and QuestObjects Result Set identifier allow the Client Quester to detect and handle this.)
- the core entity in the figure is QoQuester.
- QoQuester is the superclass of both QoClientQuester (part of the client and thus depicted in Figure 8B) and QoServerQuester (depicted in Figure 8C).
- the QoQuester entity models the Quester concept. Its primary task is to maintain an input buffer, to make sure that QuestObjects Queries are executed and to store and provide access to the QuestObjects Result Sets returned by QuestObjects Services in reply to QuestObjects Queries. At all times, a QoQuester holds one QoResultSet that contains the results of the latest QuestObjects Query.
- Client Questers and Server Questers exist in a one-to-one relationship with each other: for every Client Quester there is exactly one corresponding Server Quester, and vice versa. All properties listed in QoQuester are present and equal, both in the Client Quester.and in the corresponding Server Quester. An important exception is the resultSet property. In the Server Quester, this is always the entire QuestObjects Result Set of the latest Query. However, in order to minimize network traffic the Server Quester is intelligent about the portion it actually sends to the Client Quester.
- Questers include a property 'minimumBatchTime' that indicates the minimum amount of time that should pass before the Server Quester sends results to the Client Quester. This allows the Server Quester to accumulate results and send them as a single action instead of as a separate action for each result. There are two situations in which the Server Quester may ignore this minimum batch time:
- the Server Quester postpones sending the accumulated results to the Client Quester
- the (optional) 'maximumBatchTime' property indicates how long it may postpone the sending. Even if no results are available yet, when the maximumBatchTime passes, the Server Quester must notify the Client Quester thereof.
- Results are sent to the Client Quester in batches, the size of which is indicated by the 'resultSetBatchSize' property. Occasionally, the Server Quester may deviate from this batch size, notably when the number of results that is not present on the client is smaller than the batch size or when the maximumBatchTime has passed.
- Questers include an input buffer. The content of the input buffer is what the QuestObjects Service will be queried for.
- the input buffer is controlled by the application that uses the QuestObjects system. For example, an application with a graphical user interface may update the input buffer according to key presses in one of its input fields.
- the Client Quester keeps the input buffer of its corresponding Server Quester up to date using the protocol of the present invention.
- Properties 'highestReceivedResultSetld' and 'latestRequestld' are used to detect when QuestObjects Result Sets are received out of order. As with the 'resultSetld' property of the QoResultSet, every QuestObjects Result Set includes an identifier.
- the 'highestReceivedResultSetld' property stores the highest of all received QuestObjects Result Set identifiers. If a Client Quester only needs the latest results, it can simply discard received QuestObjects Result Sets that have a lower identifier than 'highestReceivedResultSetld'.
- the 'latestRequestld' is the identifier of the latest request. The QuestObjects Result Set with an identifier that matches 'latestRequestld' holds the results of the latest request.
- QuestObjects Service the Quester uses ('service'), the optional qualifier that Queries to this QuestObjects Service need ('qualifier'), the types the Quester can handle ('types'), whether an application proxy is needed, and the optional function of the Quester in the application ('applicationFunction', used by the application proxy mechanism to determine how the value of the Quester is to be passed to the application/web server).
- the update interval property 'autoUpdatelntervaF is set to a non-zero value, the Server Quester will automatically repeat the last Query with that interval. This is useful for QuestObjects Services that are not capable of pushing results themselves.
- a mechanism is required to allow any other entity to be notified of changes in the Quester. There are many ways this can be done.
- an event mechanism is included that involves event listeners and event handlers, very similar to the Java2 event mechanism.
- An entity that wants to be notified of changes must implement the QoQuesterChangeListener interface and then be added to the Quester's 'changeListeners' property (using the method 'addQuesterChangeListener').
- the Quester changes it will call the 'questerChanged' method of all registered QoQuesterChangeListeners with a QoQuesterChangeEvent as a parameter.
- the QoQuesterChangeEvent holds a description of the changes of the Quester; it has a reference to the Quester that raised the event and an event type.
- QoController is the entity that implements the protocol of the present invention. In addition, it knows how to buffer usage statistics and also handles the caching of result sets.
- QoController includes two subclasses (QoClientController and QoServerController), depicted in figure 8b and figure 8c, respectively.
- Buffering of usage statistics is an optimization that eliminates the need of exchanging usage data between the layers of the system every time a result is used. Instead, the QuestObjects Controller buffers that data and flushes the bufferwhen the statisticsBufferFlushTime has passed.
- Caching is an optimization as well. Caching is done by the QoResultsCache entry, to which the QuestObjects Controller has a reference.
- the QoResultsCache has a list of cached entries ('resultsCacheEntries').
- the entry of the cache is modeled as QoResultsCacheEntry, an entity that has a list of QuestObjects Result Sets for combinations of query strings and qualifiers (as defined in QoQuery).
- QoQueryValidator The last entity in Figure 8A is QoQueryValidator.
- QoQueryValidator is an abstract class that defines the method 'isValid'. This method has a query string as a parameter and returns either 'true' or 'false'. QuestObjects Services may declare and publish a QoQueryValidator. By doing so, they allow the QuestObjects Server to verify the validity of a query string without actually having to send it to the QuestObjects Service, thus eliminating network traffic for invalid query strings. [0119] Figure 8B displays the minimal entities every QuestObjects Client must have. Every client of the QuestObjects System at least has a Client Controller QoClientController. QoClientController is a subclass of QoController that implements the client side of the protocol of the invention.
- QoCIientQuester is the subclass of QoQuester that implements client-specific Quester functionality.
- the figure contains the entity 'ActiveComponent'. It represents some entity that uses the QuestObjects System through one or more Client Questers.
- Figure 8C shows the server part of the embodiment of the present invention, and includes the QoServerQontroIler, one of the subclasses of QoController.
- QoServerController implements the server-side part of the protocol of the present invention.
- the QuestObjects System is session-based. This means that clients that use the system are assigned to a session, modeled by the QoSession entity. Every session has a unique identifier, the 'sessionld'.
- the QoSession entity maintains a list of Server Questers that are active in the session (stored in the 'serverQuesters' property). Furthermore, it has a reference to the Server Controller through which a QuestObjects Client is using the session.
- QoServerQuester is the server-side subclass of QoQuester.
- QuestObjects Service that the Quester uses has a Query Validator
- QoServerQuester has (a reference to) a copy of that Query Validator, so that query strings can be validated before they are actually sent to the QuestObjects Service.
- the QoPersistentQuesterStore is an entity that is able to store a user's session and to restore it at some other time, even when the session would normally have expired or even when the same user is connecting from a different client machine.
- QoServerQuester has two methods 'store' and 'restore 1 . The first, 'store', returns a QoStoredQuester, which is a (persistent) placeholder of the Server Quester that contains all relevant data of that Server Quester. The second, 'restore', needs a QoStoredQuester as an argument.
- QoServiceDirectory acts as a Yellow Pages or directory of
- QuestObjects Services For each QuestObjects Service it stores the name and address, as well as the address of the QuestObjects Server through which the Service can be accessed. Furthermore, Services' profiles are additionally stored to allow clients to find all QuestObjects Services satisfying desired criteria.
- QoAppHostSynchronizer has its address as a property
- FIG. 8D depicts the service part of the embodiment of the present invention.
- Content is disclosed through Content Channels (the QoContentChannel entity).
- Content Channels use Content Access Modules (QoContentAccessModule) to obtain their data in a standardized way, so only the Content Access Module knows how to communicate with the underlying data source.
- Content Channels are organized in Syndicators (the QoSyndicator entity), and each syndicator includes a list of Content Channels.
- Each Quester in the QuestObjects System uses a specific Content Channel of a specific Syndicator. This is called a QuestObjects Service, namely one of the Content Channels of a Syndicator.
- the property 'subscriptionRequired' indicates whether the user needs to be a registered user to be allowed to use the Service. If it is false, only users listed in 'users' may use the Service. Users can be subscribed to QuestObjects Services, which is modeled by the QoSubscription entity. Statistics are kept per Content Channel using the QoUsageStatisticsStore entity. Content Engines optionally have a Query Validator that the QuestObjects Server may use to validate Query Strings before sending them off to the QuestObjects Service.
- Content Channels have a profile that consists of a Content Channel's description, a list of types (QoType) of QuestObjects Strings the Content Channel can provide, an optional list of DTDs of that metadata of QuestObjects Strings from the Channel conforms to, and an optional list of Query Types the Content Channel accepts.
- QoType types of QuestObjects Strings the Content Channel can provide, an optional list of DTDs of that metadata of QuestObjects Strings from the Channel conforms to, and an optional list of Query Types the Content Channel accepts.
- the QoServiceSession has a static reference to the QuestObjects Service it belongs to, as well as a static array of IP addresses of QuestObjects Servers that are allowed to connect to the QuestObjects Service.
- the array of IP addresses can be replaced by a list of addresses and netmasks, or by IP address ranges. Every instance of QoServiceSession has the IP address of the server that is using the session ('serverAddress'), a connectionTimeout indicating the maximum period of idle time before the Service Session is automatically ended, and a serviceSessionld that can be used to refer to the Service Session.
- a QuestObjects Service is one of the
- QoService has a reference to both ('syndicator' and 'contentChannel').
- the property 'listable' indicates whether the Service may be listed in a Service Directory (server::QoServiceDirectory). If not, the Service can only be used if the application writer (i.e. the programmer using the QuestObjects to develop an application) knows that it exists and where it is available.
- the property 'name' is the Service's name, used in the Service Directory amongst others. This name must use the same naming scheme as the names of custom types.
- the boolean 'subscriptionRequired' indicates whether users must be subscribed (modeled by QoSubscription) to the Service in order to be allowed to use it.
- 'contentEngineLoginName' and 'contentEngineLoginPassword' are the name and password with which is logged in.
- 'pricinglnfo' contains information about the costs involved in using the Service. It is formatted as XML, conforming to a well-defined structure (i.e. DTD or Schema).
- a Content Channel has a name (the 'name' property) and a profile (QoContentChannelProfile).
- the profile provides information about the Content Channel, namely about the Query Types it accepts ('queryTypes'), the types of the Strings it can provide ('types'), and the DTDs that QuestObjects Strings' metadata conforms to. In addition, it has a textual 'description' of the content the Content Channel discloses.
- Content Channels also have properties that define the criteria
- Query Strings have to satisfy.
- the property 'queryStringMinLength' defined the minimum length a valid query has.
- 'queryStringRegularExpressions' may contain a list of regular expression describing valid Query Strings (meaning that Query Strings have to match at least one of the regular expressions).
- the property 'queryStringFilters' may hold a list of regular expressions and replacement strings that can transform Query Strings in a well-defined manner (for example the way the standard Unix utility 'sed' does it).
- Content Channels may define a QoQueryValidator (described above in figure 8A).
- QoUser Users have a name and a password, as well as a list of subscriptions (QoSubscription).
- QoSubscription models a user's subscription to a Service (the 'service' property).
- the properties 'startDate' and 'expiration Date' define the time frame during which the subscription is valid. Outside that time frame the user will be denied access through the subscription.
- the maximum number of queries the user may run in the Service is stored in the "queryLimif attribute.
- the 'queryLimitReset' defines when the query counter is reset. For example, if queryLimit is 10 and queryLimitReset is 7 days, the user may run 10 queries per week.
- YesultLimit' stores the maximum number of results the user may receive from the subscription. Similar to 'queryLimitReset', YesultLimitReset' defines how often the result counter is reset. If YesultLimit' equals zero the number of results is unlimited and YesultLimitReset' is ignored.
- the property 'pushAllowed' indicates whether the user may use the Service in pushing mode. If so, 'pushlntervalLimit' indicates the minimum amount of time that has to pass between two pushes.
- a 'historyAllowed' variable indicates whether a history is kept of the use of the subscription; if so, 'historyLimit' indicates the maximum size of the history. If the maximum size is exceeded, the oldest history data is deleted so thatthe size of the history is below the maximum size again. If 'historyLimit' equals zero, the size of the history is unlimited. Finally, a 'usageAnonymous' variable indicates that the QoUsageRecords that are generated for this subscription must not contain user information (this is necessary because of privacy issues).
- QoUsageStatisticsStore can store three kinds of statistics: ⁇ statistics about Strings that have been displayed on the client; the
- the Client Quester determines the exact meaning of the three kinds of statistics. In the case of web applications, a string is generally considered displayed when the Client Quester accesses it in its QuestObjects Result Set. It is considered selected when a new Query is executed with the String as Query String. It is considered used when the form on which the Client Quester is active is submitted with that String. The actual data is stored as a list of QoUsageRecords in the propery 'records'. [0133] A QoUsageRecord holds usage information about a
- QuestObjects String or a number of QuestObjects Strings. If, in one Service Session, a Quester gets the same Result Set more than once (consecutively), the usage data of each of the Strings in the Result Set is grouped in one QoUsageRecord. However, if 'stringKey', 'stringValue', 'rowlnResultSet', or 'totalRowslnResultSet' changes, a new QoUsageRecord must be used from that point on.
- the properties of QoUsageRecord mean the following: stringKey: if available, this is the unique key of the QuestObjects String as provided by the Content AccessModule. stringValue: the value of the QuestObjects String.
- rowlnResultSet the row of the QuestObjects String in its QuestObjects Result Set.
- totalRowslnResultSet the number of rows the QuestObjects String's Result Set had.
- dateReturnFirst the timestamp of the first time the QuestObjects String was returned by the Content Channel.
- dateReturnLast if the QoUsageRecord represents a group of usage events, this is the timestamp of the last event.
- clientDisplayed indicates whether the QuestObjects Client that received the QuestObjects String considers it to be displayed.
- clientSelected indicates whether the QuestObjects Client that received the QuestObjects String considers it to be selected.
- clientUsed indicates whetherthe QuestObjects Client that received the QuestObjects String considers it to be used.
- applicationName the name of the application to which the Quester that received the QuestObjects String belongs.
- appliationFunction the function (if available) of the Quester that received the QuestObjects String.
- activeComponentld the identifier of the Active Component that received the QuestObjects String.
- user the identifier of the user that saw/selected/used the String. If the user's subscription has 'false' as value of 'usageAnonymous', then this property is empty.
- Queries are executed by QoQuery Executors.
- a Query is executed by QoQuery Executors.
- Executor has a reference to the Service Session in which the Query is executed, it has a reference to the Query itself, and it also has a reference to the Server Quester that has the Query executed.
- This reference may be a remote object when Corba is being used, for example. If some proprietary protocol is used, it may just be the unique identifier of the Server Quester.
- Figure 9 shows a method for using the present invention in systems that have limited technical capabilities on the Client side, such as, for example, web browsers with embedded Java applets.
- Client components needed for the present invention must be present as Plug-Ins, DLL's, or an equivalent device, or they must be downloaded to the client computer as applets.
- These applets can be written in the Java language, when they are needed.
- Client systems including web browsers usually do not allow 'foreign' software (i.e. software that is not an integral part of the web browser) to influence or change data entered by the user before it is sent to the application server (in this case the web server).
- the present invention could not easily be used to enter data by users of systems with such limited technical capabilities on the client, because data entered and selected using the present invention would not be communicated to the existing application/web server.
- the modified invention and method described in Figure 9, referred to as an Application Proxy offers a solution.
- the system depicted in Figure 9 can be used to support clients in practically any server-based application server, and particularly in the case of a web server hosting an application used by end users to enter data that is partially retrieved using the present invention, the system is not limited to the web.
- the system provides an ideal solution for current web-based applications that consist of web browsers 903 on the client side and web host computers 901 with web server software 917 on the server side.
- this system provides a link between the web server and the QuestObjects Server 902.
- QuestObjects Server acts as a data-entry proxy between the existing client system (web browser) and the existing web server. Data entered by the client is submitted to the QuestObjects Adaptor instead of to the web server. The QuestObjects Adaptor then fills in the values of the Questers and passes the data to the web server.
- An Application Proxy is not required if the QuestObjects Client components can directly insert data into the client entry form on the web browser, as is the case on certain platforms that allow integration between Java applets or other components and JavaScript in the web browser.
- the web server runs on a host computer 901 typically associated with a fixed IP address or an Internet host name.
- the web server is accessed by any number of clients using web browsers 903.
- web pages make use of HTML forms 904.
- user interface elements such as entry fields in these HTML forms are associated with Questers 905 in the form of browser Plug-Ins or Java Applets.
- Questers 905 In a QuestObjects Controller 906 those Questers allow the user to access one or more QuestObjects Services hosted by a QuestObjects Server 902 using the protocol of the present invention 907.
- the Server Controller 908 forwards user actions generated in the Client Questers 905 to their corresponding Server Questers 909 that thus are always aware of data selected in the Client.
- a Server Quester When a Server Quester is first activated, it checks whether it is being used by a client system that requires the use of an Application Proxy. If the answer is yes, then the Quester creates a corresponding AppHost Synchronizer 911 that contacts the QuestObjects Adaptor 914 on the host computer 901 using a standardized protocol 915.
- the QuestObjects Adaptor then knows which QuestObjects Server to contact to retrieve QuestObjects data 915 afterthe user submits form data 912 to the application host using the existing application protocol 913, such as HTTP POST or HTTP GET.
- the QuestObjects Adaptor then replaces the appropriate form field data with the strings selected in the Server Questers 909 before forwarding this form data, now including data selected using the present invention, to the web server 917.
- the present invention can intelligently cache query results, distribute Services over a network of Servers, validate user and other client input, authorize user access and authenticate client software components as needed. These and other optional services are provided by the present invention without requiring additional work on the part of software developers or content publishers. Publishers can also keep track of usage statistics, on a per-user basis as required allowing flexible billing of content access.
- Content Access Modules allow software developers and vendors of Content Engines such as database vendors and search engine vendors to create simplified ways for developers and implementers of such content engines to disclose information through the present invention.
- the present invention can be implemented on any client and server system using any combination of operating systems and programming languages that support asynchronous network connections and preferably but not necessarily preemptive multitasking and multithreading.
- the interface of the present invention as it appears to the outside world i.e. programmers and developers who provide access to end users and programmers who provide Content Access Modules to Content Engines used by content publishers
- Adapters can be built allowing the tiers of the system to cooperate even if they use a different operating system or a different programming language.
- the protocol of the present invention can be implemented on top of networking standards such as TCP/IP. It can also take advantage of inter-object communication standards such as CORBA and DCOM.
- the object model of the present invention can be mapped to most other programming languages, including Java, C++, Objective C and Pascal.
- Examples of Applications in which the invention may be used include: Access system for database fields (for lookup and auto-complete services); Enterprise thesauri system; Enterprise search and retrieval systems; Enterprise reference works; Enterprise address books; Control systems for sending sensor readings to a server that responds with appropriate instructions or actions to be taken; Client access to dictionary, thesaurus, encyclopedia and reference works; Access to commercial products database; Literary quotes library; Real-time stockquote provision; Access to real-time news service; Access to Internet advertisements; Access to complex functions (bank check, credit card validation, etc); Access to language translation engines; Access to classification schemes (eg, Library of Congress Subject Headings); Access to lookup lists such as cities or countries in an orderform; Personal address books; and, Personal auto-complete histories.
- Access system for database fields for lookup and auto-complete services
- Enterprise thesauri system for lookup and auto-complete services
- Enterprise reference works for enterprise search and retrieval systems
- Enterprise address books Enterprise address books
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Abstract
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Families Citing this family (247)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7333820B2 (en) * | 2001-07-17 | 2008-02-19 | Networks In Motion, Inc. | System and method for providing routing, mapping, and relative position information to users of a communication network |
US8112529B2 (en) | 2001-08-20 | 2012-02-07 | Masterobjects, Inc. | System and method for asynchronous client server session communication |
US7752326B2 (en) * | 2001-08-20 | 2010-07-06 | Masterobjects, Inc. | System and method for utilizing asynchronous client server communication objects |
US20090006543A1 (en) * | 2001-08-20 | 2009-01-01 | Masterobjects | System and method for asynchronous retrieval of information based on incremental user input |
US9626385B2 (en) * | 2001-08-31 | 2017-04-18 | Margaret Runchey | Semantic model of everything recorded with ur-url combination identity-identifier-addressing-indexing method, means, and apparatus |
JP2003108748A (en) * | 2001-09-28 | 2003-04-11 | Sony Corp | Method for generalizing identification information, portal information providing device and ic card |
US8046343B2 (en) * | 2001-09-29 | 2011-10-25 | Siebel Systems, Inc. | Computing system and method for automatic completion of pick field |
JP3764665B2 (en) * | 2001-10-03 | 2006-04-12 | 株式会社グラフィン | A system to prevent leakage of confidential information required for computer-aided education and training |
US20030145046A1 (en) * | 2002-01-31 | 2003-07-31 | Keller S. Brandon | Generating a list of addresses on a proxy server |
US20030145065A1 (en) * | 2002-01-31 | 2003-07-31 | Keller S. Brandon | Generating a list of document addresses on a local network |
US20030145112A1 (en) * | 2002-01-31 | 2003-07-31 | Keller S. Brandon | Assisted entering of addresses |
US20030145087A1 (en) * | 2002-01-31 | 2003-07-31 | Keller S. Brandon | Generating a list of addresses in a server |
US20040201631A1 (en) * | 2002-01-31 | 2004-10-14 | Keller S. Brandon | Generating a list of addresses in an index page |
US7080325B2 (en) * | 2002-02-22 | 2006-07-18 | Call-Tell Llc | Graphical device for comprehensive viewing and input of variable data via a browser-based display |
WO2003074973A2 (en) | 2002-03-01 | 2003-09-12 | Networks In Motion, Inc. | Method and apparatus for sending, retrieving, and planning location relevant information |
US20050102668A1 (en) * | 2002-03-18 | 2005-05-12 | Siemens Aktiengesellschaft | Method and device for representing the dependencies of components of a technical installation |
US7565155B2 (en) | 2002-04-10 | 2009-07-21 | Networks In Motion | Method and system for dynamic estimation and predictive route generation |
JP3854210B2 (en) * | 2002-09-11 | 2006-12-06 | 富士通株式会社 | Questionnaire method, questionnaire device, questionnaire program, computer-readable recording medium recording the questionnaire program, and respondent terminal |
WO2004074778A1 (en) | 2003-02-14 | 2004-09-02 | Networks In Motion, Inc. | Method and system for saving and retrieving spatial related information |
US20040193609A1 (en) * | 2003-03-26 | 2004-09-30 | Sony Corporation | Master content directory service server for providing a consolidated network-wide content directory |
WO2004104865A2 (en) * | 2003-05-12 | 2004-12-02 | Sun Microsystems, Inc. | Methods and systems for intellectual capital sharing and control |
AU2004302220A1 (en) * | 2003-08-08 | 2005-02-17 | Telecommunication Systems, Inc. | Method and system for collecting synchronizing and reporting telecommunication call events and work flow related information |
US7603419B2 (en) | 2003-08-11 | 2009-10-13 | Teamon Systems, Inc. | System and method for automatically learning mailbox configuration conventions |
US7373386B2 (en) * | 2003-08-11 | 2008-05-13 | Research In Motion Limited | System and method for configuring access to electronic mailboxes |
US6959325B2 (en) * | 2003-08-11 | 2005-10-25 | Teamon Systems, Inc. | System and method for generating configurations used for accessing electronic mailboxes |
US20050055352A1 (en) * | 2003-09-08 | 2005-03-10 | Sony Corporation | Content directory and synchronization bridge |
US7925790B2 (en) * | 2003-09-17 | 2011-04-12 | Sony Corporation | Middleware filter agent between server and PDA |
US20050060370A1 (en) * | 2003-09-17 | 2005-03-17 | Sony Corporation | Version based content distribution and synchronization system and method |
US20050060578A1 (en) * | 2003-09-17 | 2005-03-17 | Sony Corporation | Method of and system for authentication downloading |
US7735000B2 (en) * | 2003-09-25 | 2010-06-08 | Sony Corporation | Information and content exchange document type definitions to support content distribution |
US8229996B2 (en) * | 2003-11-26 | 2012-07-24 | Microsoft Corporation | Asynchronous processing of task components in connection with rights management system and the like |
US7890526B1 (en) * | 2003-12-30 | 2011-02-15 | Microsoft Corporation | Incremental query refinement |
US20050165941A1 (en) * | 2004-01-22 | 2005-07-28 | Edward Eytchison | Methods and apparatuses for streaming content |
US8689113B2 (en) | 2004-01-22 | 2014-04-01 | Sony Corporation | Methods and apparatus for presenting content |
EP1560137A1 (en) * | 2004-01-30 | 2005-08-03 | Sap Ag | Technique for reliable message confirmation |
US7836044B2 (en) | 2004-06-22 | 2010-11-16 | Google Inc. | Anticipated query generation and processing in a search engine |
US7487145B1 (en) | 2004-06-22 | 2009-02-03 | Google Inc. | Method and system for autocompletion using ranked results |
US20070055386A1 (en) * | 2004-11-03 | 2007-03-08 | Rockwell Automation Technologies, Inc. | Abstracted display building method and system |
US20070033538A1 (en) * | 2004-11-03 | 2007-02-08 | Rockwell Automation Technologies, Inc. | Real time parallel interface configuration and device representation method and system |
US7499940B1 (en) | 2004-11-11 | 2009-03-03 | Google Inc. | Method and system for URL autocompletion using ranked results |
US20060106769A1 (en) | 2004-11-12 | 2006-05-18 | Gibbs Kevin A | Method and system for autocompletion for languages having ideographs and phonetic characters |
US7966310B2 (en) * | 2004-11-24 | 2011-06-21 | At&T Intellectual Property I, L.P. | Method, system, and software for correcting uniform resource locators |
EP1669899A1 (en) * | 2004-12-08 | 2006-06-14 | France Telecom | Method for processing HTTP and HTML page requests sent or received by a browser towards or from at least one Web server and associated server |
US7984388B2 (en) * | 2004-12-10 | 2011-07-19 | International Business Machines Corporation | System and method for partially collapsing a hierarchical structure for information navigation |
US7590744B2 (en) * | 2004-12-15 | 2009-09-15 | Guard Insurance Group | Remote communication system and method implementing a session server and one or more object servers |
US7890507B2 (en) | 2005-02-25 | 2011-02-15 | International Business Machines Corporation | System and method of joining data obtained from horizontally and vertically partitioned heterogeneous data stores using string-based location transparent search expressions |
US20060195427A1 (en) * | 2005-02-25 | 2006-08-31 | International Business Machines Corporation | System and method for improving query response time in a relational database (RDB) system by managing the number of unique table aliases defined within an RDB-specific search expression |
US7505985B2 (en) | 2005-02-25 | 2009-03-17 | International Business Machines Corporation | System and method of generating string-based search expressions using templates |
BRPI0607818A2 (en) | 2005-03-07 | 2009-10-06 | Networks In Motion Inc | method and system for identifying and defining virtual geographic fences |
US7945522B2 (en) * | 2005-04-11 | 2011-05-17 | Jobfox, Inc. | Match-based employment system and method |
US7546289B2 (en) | 2005-05-11 | 2009-06-09 | W.W. Grainger, Inc. | System and method for providing a response to a search query |
US7647312B2 (en) * | 2005-05-12 | 2010-01-12 | Microsoft Corporation | System and method for automatic generation of suggested inline search terms |
US10510087B2 (en) * | 2005-07-07 | 2019-12-17 | Sermo, Inc. | Method and apparatus for conducting an information brokering service |
US7761536B2 (en) | 2005-11-17 | 2010-07-20 | Ebay Inc. | Method and system to transmit data |
EP1958338A4 (en) * | 2005-12-07 | 2011-01-05 | Method and system for a user input solution for a limited telecommunication device | |
US7529795B2 (en) * | 2006-03-20 | 2009-05-05 | Stragent, Llc | Message board aggregator |
US7908264B2 (en) * | 2006-05-02 | 2011-03-15 | Mypoints.Com Inc. | Method for providing the appearance of a single data repository for queries initiated in a system incorporating distributed member server groups |
US7756130B1 (en) | 2007-05-22 | 2010-07-13 | At&T Mobility Ii Llc | Content engine for mobile communications systems |
EP2053526A1 (en) * | 2007-07-25 | 2009-04-29 | MasterObjects Inc. | System and method for asynchronous retrieval of information based on incremental user input |
JP5246640B2 (en) * | 2007-09-28 | 2013-07-24 | インターナショナル・ビジネス・マシーンズ・コーポレーション | Technology that automates user operations |
US10083420B2 (en) * | 2007-11-21 | 2018-09-25 | Sermo, Inc | Community moderated information |
US8232973B2 (en) | 2008-01-09 | 2012-07-31 | Apple Inc. | Method, device, and graphical user interface providing word recommendations for text input |
US20090193339A1 (en) * | 2008-01-29 | 2009-07-30 | International Business Machines Corporation | Socially-authored context-initiated processes |
EP2283634B1 (en) * | 2008-04-04 | 2015-07-08 | Telefonaktiebolaget LM Ericsson (publ) | Method and device for access to a directory |
US8805822B2 (en) * | 2008-05-02 | 2014-08-12 | Oracle International Corporation | Knowledge base search utility |
US8549093B2 (en) | 2008-09-23 | 2013-10-01 | Strategic Technology Partners, LLC | Updating a user session in a mach-derived system environment |
US7949647B2 (en) * | 2008-11-26 | 2011-05-24 | Yahoo! Inc. | Navigation assistance for search engines |
US8516080B2 (en) * | 2008-12-03 | 2013-08-20 | Mobophiles, Inc. | System and method for providing virtual web access |
WO2010139277A1 (en) | 2009-06-03 | 2010-12-09 | Google Inc. | Autocompletion for partially entered query |
BR112012007186A2 (en) * | 2009-09-29 | 2017-06-06 | Simplygen Ltd | system and method for modifying a web page |
US9690769B2 (en) * | 2009-10-16 | 2017-06-27 | Excalibur Ip, Llc | Method and system for completing an edit area of a web page |
US8856115B1 (en) * | 2009-12-07 | 2014-10-07 | Google Inc. | Framework for suggesting search terms |
US8316056B2 (en) * | 2009-12-08 | 2012-11-20 | Facebook, Inc. | Second-order connection search in a social networking system |
US20110184723A1 (en) * | 2010-01-25 | 2011-07-28 | Microsoft Corporation | Phonetic suggestion engine |
US9633121B2 (en) | 2010-04-19 | 2017-04-25 | Facebook, Inc. | Personalizing default search queries on online social networks |
US9275119B2 (en) | 2010-04-19 | 2016-03-01 | Facebook, Inc. | Sharing search queries on online social network |
US8732208B2 (en) | 2010-04-19 | 2014-05-20 | Facebook, Inc. | Structured search queries based on social-graph information |
US8918418B2 (en) | 2010-04-19 | 2014-12-23 | Facebook, Inc. | Default structured search queries on online social networks |
US9092485B2 (en) | 2010-04-19 | 2015-07-28 | Facebook, Inc. | Dynamic suggested search queries on online social networks |
US9275101B2 (en) | 2010-04-19 | 2016-03-01 | Facebook, Inc. | Search queries with previews of search results on online social networks |
US8751521B2 (en) | 2010-04-19 | 2014-06-10 | Facebook, Inc. | Personalized structured search queries for online social networks |
US8572129B1 (en) | 2010-04-19 | 2013-10-29 | Facebook, Inc. | Automatically generating nodes and edges in an integrated social graph |
US8782080B2 (en) | 2010-04-19 | 2014-07-15 | Facebook, Inc. | Detecting social graph elements for structured search queries |
US10402419B1 (en) | 2010-04-19 | 2019-09-03 | Facebook, Inc. | Search queries with previews of search results on online social networks |
US9262482B2 (en) | 2010-04-19 | 2016-02-16 | Facebook, Inc. | Generating default search queries on online social networks |
US8180804B1 (en) | 2010-04-19 | 2012-05-15 | Facebook, Inc. | Dynamically generating recommendations based on social graph information |
US9223838B2 (en) | 2010-04-19 | 2015-12-29 | Facebook, Inc. | Sponsored search queries on online social networks |
US8185558B1 (en) | 2010-04-19 | 2012-05-22 | Facebook, Inc. | Automatically generating nodes and edges in an integrated social graph |
US8868603B2 (en) | 2010-04-19 | 2014-10-21 | Facebook, Inc. | Ambiguous structured search queries on online social networks |
US20120254804A1 (en) | 2010-05-21 | 2012-10-04 | Sheha Michael A | Personal wireless navigation system |
US8954554B2 (en) * | 2010-07-09 | 2015-02-10 | General Electric Company | Systems and methods for transferring remote context |
WO2012024585A1 (en) | 2010-08-19 | 2012-02-23 | Othar Hansson | Predictive query completion and predictive search results |
US8812733B1 (en) | 2010-08-19 | 2014-08-19 | Google Inc. | Transport protocol independent communications library |
US9721040B2 (en) * | 2010-12-09 | 2017-08-01 | Oracle International Corporation | Mechanism to input, search and create complex data strings within a single dialog |
US20130036353A1 (en) * | 2011-08-05 | 2013-02-07 | At&T Intellectual Property I, L.P. | Method and Apparatus for Displaying Multimedia Information Synchronized with User Activity |
US9594846B2 (en) * | 2011-08-11 | 2017-03-14 | Helwett-Packard Development Company, L.P. | Client side caching |
US8645825B1 (en) | 2011-08-31 | 2014-02-04 | Google Inc. | Providing autocomplete suggestions |
US10148763B2 (en) | 2011-10-10 | 2018-12-04 | Hewlett-Packard Development Company, L.P. | Establish client-host connection |
US8688793B2 (en) * | 2011-11-08 | 2014-04-01 | Blackberry Limited | System and method for insertion of addresses in electronic messages |
US9348479B2 (en) | 2011-12-08 | 2016-05-24 | Microsoft Technology Licensing, Llc | Sentiment aware user interface customization |
US9378290B2 (en) | 2011-12-20 | 2016-06-28 | Microsoft Technology Licensing, Llc | Scenario-adaptive input method editor |
EP2807454A4 (en) | 2012-01-26 | 2015-08-19 | Telecomm Systems Inc | Navigational lane guidance |
DE102013201973A1 (en) | 2012-02-22 | 2013-08-22 | International Business Machines Corp. | Distributed application anticipating server responses |
US8935203B1 (en) | 2012-03-29 | 2015-01-13 | Amazon Technologies, Inc. | Environment-sensitive distributed data management |
US8918392B1 (en) * | 2012-03-29 | 2014-12-23 | Amazon Technologies, Inc. | Data storage mapping and management |
US8930364B1 (en) | 2012-03-29 | 2015-01-06 | Amazon Technologies, Inc. | Intelligent data integration |
US8832234B1 (en) | 2012-03-29 | 2014-09-09 | Amazon Technologies, Inc. | Distributed data storage controller |
US8601019B1 (en) | 2012-04-03 | 2013-12-03 | Google Inc. | Presenting autocomplete suggestions |
US8868592B1 (en) | 2012-05-18 | 2014-10-21 | Google Inc. | Providing customized autocomplete data |
US8671106B1 (en) | 2012-05-23 | 2014-03-11 | Google Inc. | Indicators for entities corresponding to search suggestions |
US8930139B2 (en) | 2012-06-21 | 2015-01-06 | Telecommunication Systems, Inc. | Dynamically varied map labeling |
CN110488991A (en) | 2012-06-25 | 2019-11-22 | 微软技术许可有限责任公司 | Input Method Editor application platform |
US8935255B2 (en) | 2012-07-27 | 2015-01-13 | Facebook, Inc. | Social static ranking for search |
US8959109B2 (en) | 2012-08-06 | 2015-02-17 | Microsoft Corporation | Business intelligent in-document suggestions |
US9767156B2 (en) | 2012-08-30 | 2017-09-19 | Microsoft Technology Licensing, Llc | Feature-based candidate selection |
US10031968B2 (en) * | 2012-10-11 | 2018-07-24 | Veveo, Inc. | Method for adaptive conversation state management with filtering operators applied dynamically as part of a conversational interface |
US9105068B2 (en) | 2012-11-12 | 2015-08-11 | Facebook, Inc. | Grammar model for structured search queries |
US9398104B2 (en) | 2012-12-20 | 2016-07-19 | Facebook, Inc. | Ranking test framework for search results on an online social network |
US9367607B2 (en) | 2012-12-31 | 2016-06-14 | Facebook, Inc. | Natural-language rendering of structured search queries |
US9361363B2 (en) | 2012-12-31 | 2016-06-07 | Facebook, Inc. | Modifying structured search queries on online social networks |
US9703844B2 (en) | 2012-12-31 | 2017-07-11 | Facebook, Inc. | Search result snippets for structured search queries |
US9143468B1 (en) | 2013-01-08 | 2015-09-22 | Twitter, Inc. | Identifying relevant messages in a conversation graph |
US9223826B2 (en) | 2013-02-25 | 2015-12-29 | Facebook, Inc. | Pushing suggested search queries to mobile devices |
US20140280289A1 (en) * | 2013-03-12 | 2014-09-18 | Microsoft Corporation | Autosuggestions based on user history |
US9424359B1 (en) * | 2013-03-15 | 2016-08-23 | Twitter, Inc. | Typeahead using messages of a messaging platform |
WO2014167702A1 (en) * | 2013-04-12 | 2014-10-16 | 株式会社日立製作所 | Computer, data processing method, and non-temporary recording medium |
US9122376B1 (en) * | 2013-04-18 | 2015-09-01 | Google Inc. | System for improving autocompletion of text input |
US9910887B2 (en) | 2013-04-25 | 2018-03-06 | Facebook, Inc. | Variable search query vertical access |
US9367880B2 (en) | 2013-05-03 | 2016-06-14 | Facebook, Inc. | Search intent for queries on online social networks |
US9367536B2 (en) | 2013-05-03 | 2016-06-14 | Facebook, Inc. | Using inverse operators for queries on online social networks |
US9367625B2 (en) | 2013-05-03 | 2016-06-14 | Facebook, Inc. | Search query interactions on online social networks |
US9330183B2 (en) | 2013-05-08 | 2016-05-03 | Facebook, Inc. | Approximate privacy indexing for search queries on online social networks |
US9223898B2 (en) | 2013-05-08 | 2015-12-29 | Facebook, Inc. | Filtering suggested structured queries on online social networks |
KR101334342B1 (en) * | 2013-05-16 | 2013-11-29 | 주식회사 네오패드 | Apparatus and method for inputting character |
US9305322B2 (en) | 2013-07-23 | 2016-04-05 | Facebook, Inc. | Native application testing |
US9043425B2 (en) * | 2013-07-29 | 2015-05-26 | Google Inc. | Resource locator remarketing |
US9317614B2 (en) | 2013-07-30 | 2016-04-19 | Facebook, Inc. | Static rankings for search queries on online social networks |
US9514230B2 (en) | 2013-07-30 | 2016-12-06 | Facebook, Inc. | Rewriting search queries on online social networks |
US10956997B2 (en) * | 2013-10-10 | 2021-03-23 | E-Legal, Inc. | System, method, and process for the automatic generation of documents |
US9367629B2 (en) | 2013-12-19 | 2016-06-14 | Facebook, Inc. | Grouping recommended search queries on online social networks |
US9336300B2 (en) | 2014-01-17 | 2016-05-10 | Facebook, Inc. | Client-side search templates for online social networks |
US20150205828A1 (en) * | 2014-01-21 | 2015-07-23 | Sap Ag | Methods, systems, and apparatus for auto-complete suggestion lists |
US10803054B2 (en) | 2014-02-03 | 2020-10-13 | Oracle International Corporation | Dynamically building a database query by combining a static query clause with a user-specified filter |
US9477760B2 (en) | 2014-02-12 | 2016-10-25 | Facebook, Inc. | Query construction on online social networks |
US9798832B1 (en) | 2014-03-31 | 2017-10-24 | Facebook, Inc. | Dynamic ranking of user cards |
US9794359B1 (en) | 2014-03-31 | 2017-10-17 | Facebook, Inc. | Implicit contacts in an online social network |
US9646055B2 (en) | 2014-04-03 | 2017-05-09 | Facebook, Inc. | Blending search results on online social networks |
US9679078B2 (en) | 2014-05-21 | 2017-06-13 | Facebook, Inc. | Search client context on online social networks |
US10255267B2 (en) * | 2014-05-30 | 2019-04-09 | Apple Inc. | Device, method, and graphical user interface for a predictive keyboard |
CN106716464A (en) | 2014-06-30 | 2017-05-24 | A·F·沙班 | System and method for allocating value to timekeeper work |
US20160140528A1 (en) | 2014-06-30 | 2016-05-19 | Ahmed Farouk Shaaban | Client Entry and Maintenance System for Timekeeping and Billing for Professional Services System and Method |
US10796383B2 (en) * | 2014-06-30 | 2020-10-06 | Ahmed Farouk Shaaban | System and method for allocating value to timekeeper work |
US10268763B2 (en) | 2014-07-25 | 2019-04-23 | Facebook, Inc. | Ranking external content on online social networks |
GB2528687A (en) | 2014-07-28 | 2016-02-03 | Ibm | Text auto-completion |
US9871714B2 (en) | 2014-08-01 | 2018-01-16 | Facebook, Inc. | Identifying user biases for search results on online social networks |
US10255244B2 (en) | 2014-08-01 | 2019-04-09 | Facebook, Inc. | Search results based on user biases on online social networks |
US9792364B2 (en) | 2014-08-08 | 2017-10-17 | Facebook, Inc. | Blending search results on online social networks |
US10120909B2 (en) | 2014-08-22 | 2018-11-06 | Facebook, Inc. | Generating cards in response to user actions on online social networks |
US9703859B2 (en) | 2014-08-27 | 2017-07-11 | Facebook, Inc. | Keyword search queries on online social networks |
US9754037B2 (en) | 2014-08-27 | 2017-09-05 | Facebook, Inc. | Blending by query classification on online social networks |
US10255365B2 (en) | 2014-08-29 | 2019-04-09 | Facebook, Inc. | Priming search results on online social networks |
US10740412B2 (en) | 2014-09-05 | 2020-08-11 | Facebook, Inc. | Pivoting search results on online social networks |
WO2016048333A1 (en) | 2014-09-25 | 2016-03-31 | Hewlett Packard Enterprise Development Lp | A report comprising a masked value |
US9507876B2 (en) | 2014-10-06 | 2016-11-29 | Facebook, Inc. | Constructing queries using query filters on online social networks |
US9703870B2 (en) | 2014-11-05 | 2017-07-11 | Facebook, Inc. | Social-based optimization of web crawling for online social networks |
US10409873B2 (en) | 2014-11-26 | 2019-09-10 | Facebook, Inc. | Searching for content by key-authors on online social networks |
US10552759B2 (en) | 2014-12-01 | 2020-02-04 | Facebook, Inc. | Iterative classifier training on online social networks |
US9679024B2 (en) | 2014-12-01 | 2017-06-13 | Facebook, Inc. | Social-based spelling correction for online social networks |
US9990441B2 (en) | 2014-12-05 | 2018-06-05 | Facebook, Inc. | Suggested keywords for searching content on online social networks |
US10102273B2 (en) | 2014-12-30 | 2018-10-16 | Facebook, Inc. | Suggested queries for locating posts on online social networks |
US10061856B2 (en) * | 2015-01-29 | 2018-08-28 | Facebook, Inc. | Multimedia search using reshare text on online social networks |
US10997257B2 (en) | 2015-02-06 | 2021-05-04 | Facebook, Inc. | Aggregating news events on online social networks |
US10095683B2 (en) | 2015-04-10 | 2018-10-09 | Facebook, Inc. | Contextual speller models on online social networks |
US10049099B2 (en) | 2015-04-10 | 2018-08-14 | Facebook, Inc. | Spell correction with hidden markov models on online social networks |
US10628636B2 (en) | 2015-04-24 | 2020-04-21 | Facebook, Inc. | Live-conversation modules on online social networks |
US10298535B2 (en) | 2015-05-19 | 2019-05-21 | Facebook, Inc. | Civic issues platforms on online social networks |
US10397167B2 (en) | 2015-06-19 | 2019-08-27 | Facebook, Inc. | Live social modules on online social networks |
US10509832B2 (en) | 2015-07-13 | 2019-12-17 | Facebook, Inc. | Generating snippet modules on online social networks |
US10268664B2 (en) | 2015-08-25 | 2019-04-23 | Facebook, Inc. | Embedding links in user-created content on online social networks |
EP3347829A4 (en) * | 2015-09-09 | 2019-03-20 | Beijing Particle Information Techonology Co., Ltd. | Method and system for providing organized content |
US10372755B2 (en) * | 2015-09-23 | 2019-08-06 | Motorola Solutions, Inc. | Apparatus, system, and method for responding to a user-initiated query with a context-based response |
US10810217B2 (en) | 2015-10-07 | 2020-10-20 | Facebook, Inc. | Optionalization and fuzzy search on online social networks |
US10795936B2 (en) | 2015-11-06 | 2020-10-06 | Facebook, Inc. | Suppressing entity suggestions on online social networks |
US9602965B1 (en) | 2015-11-06 | 2017-03-21 | Facebook, Inc. | Location-based place determination using online social networks |
US10270868B2 (en) | 2015-11-06 | 2019-04-23 | Facebook, Inc. | Ranking of place-entities on online social networks |
US10534814B2 (en) | 2015-11-11 | 2020-01-14 | Facebook, Inc. | Generating snippets on online social networks |
US10387511B2 (en) | 2015-11-25 | 2019-08-20 | Facebook, Inc. | Text-to-media indexes on online social networks |
US10664536B2 (en) * | 2015-12-18 | 2020-05-26 | Microsoft Technology Licensing, Llc | Consumption of user-filtered data on a client device |
US10740368B2 (en) | 2015-12-29 | 2020-08-11 | Facebook, Inc. | Query-composition platforms on online social networks |
US10282434B2 (en) | 2016-01-11 | 2019-05-07 | Facebook, Inc. | Suppression and deduplication of place-entities on online social networks |
US10262039B1 (en) | 2016-01-15 | 2019-04-16 | Facebook, Inc. | Proximity-based searching on online social networks |
US10162899B2 (en) | 2016-01-15 | 2018-12-25 | Facebook, Inc. | Typeahead intent icons and snippets on online social networks |
US10740375B2 (en) | 2016-01-20 | 2020-08-11 | Facebook, Inc. | Generating answers to questions using information posted by users on online social networks |
US10216850B2 (en) | 2016-02-03 | 2019-02-26 | Facebook, Inc. | Sentiment-modules on online social networks |
US10242074B2 (en) | 2016-02-03 | 2019-03-26 | Facebook, Inc. | Search-results interfaces for content-item-specific modules on online social networks |
US10157224B2 (en) | 2016-02-03 | 2018-12-18 | Facebook, Inc. | Quotations-modules on online social networks |
US10270882B2 (en) | 2016-02-03 | 2019-04-23 | Facebook, Inc. | Mentions-modules on online social networks |
US10452671B2 (en) | 2016-04-26 | 2019-10-22 | Facebook, Inc. | Recommendations from comments on online social networks |
US10659299B1 (en) | 2016-06-30 | 2020-05-19 | Facebook, Inc. | Managing privacy settings for content on online social networks |
US10635661B2 (en) | 2016-07-11 | 2020-04-28 | Facebook, Inc. | Keyboard-based corrections for search queries on online social networks |
US10223464B2 (en) | 2016-08-04 | 2019-03-05 | Facebook, Inc. | Suggesting filters for search on online social networks |
US10282483B2 (en) | 2016-08-04 | 2019-05-07 | Facebook, Inc. | Client-side caching of search keywords for online social networks |
CN106339211B (en) * | 2016-08-12 | 2020-01-17 | 北京领通科技有限公司 | Monitoring method and device for inconsistent display in remote service of intelligent terminal |
US10726022B2 (en) | 2016-08-26 | 2020-07-28 | Facebook, Inc. | Classifying search queries on online social networks |
US10534815B2 (en) | 2016-08-30 | 2020-01-14 | Facebook, Inc. | Customized keyword query suggestions on online social networks |
US10102255B2 (en) | 2016-09-08 | 2018-10-16 | Facebook, Inc. | Categorizing objects for queries on online social networks |
US10645142B2 (en) | 2016-09-20 | 2020-05-05 | Facebook, Inc. | Video keyframes display on online social networks |
US10026021B2 (en) | 2016-09-27 | 2018-07-17 | Facebook, Inc. | Training image-recognition systems using a joint embedding model on online social networks |
US10083379B2 (en) | 2016-09-27 | 2018-09-25 | Facebook, Inc. | Training image-recognition systems based on search queries on online social networks |
US10579688B2 (en) | 2016-10-05 | 2020-03-03 | Facebook, Inc. | Search ranking and recommendations for online social networks based on reconstructed embeddings |
WO2018066784A1 (en) * | 2016-10-07 | 2018-04-12 | 엘지전자 주식회사 | Method and network node for asynchronously managing session of terminal |
US10311117B2 (en) | 2016-11-18 | 2019-06-04 | Facebook, Inc. | Entity linking to query terms on online social networks |
US10650009B2 (en) | 2016-11-22 | 2020-05-12 | Facebook, Inc. | Generating news headlines on online social networks |
US10162886B2 (en) | 2016-11-30 | 2018-12-25 | Facebook, Inc. | Embedding-based parsing of search queries on online social networks |
US10235469B2 (en) | 2016-11-30 | 2019-03-19 | Facebook, Inc. | Searching for posts by related entities on online social networks |
US10185763B2 (en) | 2016-11-30 | 2019-01-22 | Facebook, Inc. | Syntactic models for parsing search queries on online social networks |
US10313456B2 (en) | 2016-11-30 | 2019-06-04 | Facebook, Inc. | Multi-stage filtering for recommended user connections on online social networks |
US10698960B2 (en) * | 2016-12-08 | 2020-06-30 | MetaSense Digital Marketing Management Inc. | Content validation and coding for search engine optimization |
US11223699B1 (en) | 2016-12-21 | 2022-01-11 | Facebook, Inc. | Multiple user recognition with voiceprints on online social networks |
US10607148B1 (en) | 2016-12-21 | 2020-03-31 | Facebook, Inc. | User identification with voiceprints on online social networks |
US11030215B2 (en) * | 2016-12-23 | 2021-06-08 | Ingram Micro Inc. | Technologies for scaling user interface backend clusters for database-bound applications |
US10535106B2 (en) | 2016-12-28 | 2020-01-14 | Facebook, Inc. | Selecting user posts related to trending topics on online social networks |
US10489472B2 (en) | 2017-02-13 | 2019-11-26 | Facebook, Inc. | Context-based search suggestions on online social networks |
US10614141B2 (en) | 2017-03-15 | 2020-04-07 | Facebook, Inc. | Vital author snippets on online social networks |
US10769222B2 (en) | 2017-03-20 | 2020-09-08 | Facebook, Inc. | Search result ranking based on post classifiers on online social networks |
US11379861B2 (en) | 2017-05-16 | 2022-07-05 | Meta Platforms, Inc. | Classifying post types on online social networks |
US10248645B2 (en) | 2017-05-30 | 2019-04-02 | Facebook, Inc. | Measuring phrase association on online social networks |
US10268646B2 (en) | 2017-06-06 | 2019-04-23 | Facebook, Inc. | Tensor-based deep relevance model for search on online social networks |
US10489468B2 (en) | 2017-08-22 | 2019-11-26 | Facebook, Inc. | Similarity search using progressive inner products and bounds |
US10776437B2 (en) | 2017-09-12 | 2020-09-15 | Facebook, Inc. | Time-window counters for search results on online social networks |
US10678786B2 (en) | 2017-10-09 | 2020-06-09 | Facebook, Inc. | Translating search queries on online social networks |
US10810214B2 (en) | 2017-11-22 | 2020-10-20 | Facebook, Inc. | Determining related query terms through query-post associations on online social networks |
US10963514B2 (en) | 2017-11-30 | 2021-03-30 | Facebook, Inc. | Using related mentions to enhance link probability on online social networks |
US11604968B2 (en) | 2017-12-11 | 2023-03-14 | Meta Platforms, Inc. | Prediction of next place visits on online social networks |
US10129705B1 (en) | 2017-12-11 | 2018-11-13 | Facebook, Inc. | Location prediction using wireless signals on online social networks |
US10148525B1 (en) * | 2018-04-13 | 2018-12-04 | Winshuttle, Llc | Methods and systems for mitigating risk in deploying unvetted data handling rules |
CN109274510B (en) * | 2018-09-06 | 2022-01-21 | 北京达佳互联信息技术有限公司 | Message processing method, device, client, server and storage medium |
US11347940B2 (en) * | 2018-10-16 | 2022-05-31 | Soco, Inc. | Asynchronous role-playing system for dialog data collection |
US11409953B1 (en) | 2018-11-09 | 2022-08-09 | UpBup Inc. | Forms generation interface for web service |
US11514053B2 (en) * | 2019-04-16 | 2022-11-29 | Microsoft Technology Licensing, Llc | Caching of potential search results |
US11194467B2 (en) | 2019-06-01 | 2021-12-07 | Apple Inc. | Keyboard management user interfaces |
CN111026529B (en) * | 2019-11-26 | 2023-08-01 | 蚂蚁财富(上海)金融信息服务有限公司 | Task stopping method and device of distributed task processing system |
US11057322B1 (en) | 2019-12-20 | 2021-07-06 | Twitter, Inc. | Ranking messages of conversation graphs in a messaging platform using machine-learning signals |
US11516155B1 (en) | 2019-12-20 | 2022-11-29 | Twitter, Inc. | Hard and soft ranking messages of conversation graphs in a messaging platform |
US10951560B1 (en) | 2019-12-20 | 2021-03-16 | Twitter, Inc. | Ranking messages of conversation graphs in a messaging platform using predictive outcomes |
US11416136B2 (en) | 2020-09-14 | 2022-08-16 | Apple Inc. | User interfaces for assigning and responding to user inputs |
US12031228B2 (en) | 2021-07-21 | 2024-07-09 | Meta Platforms Technologies, Llc | Organic solid crystal—method and structure |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5581753A (en) * | 1994-09-28 | 1996-12-03 | Xerox Corporation | Method for providing session consistency guarantees |
US5634127A (en) * | 1994-11-30 | 1997-05-27 | International Business Machines Corporation | Methods and apparatus for implementing a message driven processor in a client-server environment |
US5701461A (en) * | 1995-01-27 | 1997-12-23 | Microsoft Corporation | Method and system for accessing a remote database using pass-through queries |
US5802292A (en) | 1995-04-28 | 1998-09-01 | Digital Equipment Corporation | Method for predictive prefetching of information over a communications network |
US5928335A (en) * | 1996-10-30 | 1999-07-27 | Ricoh Company, Ltd. | Client/server system having middleware-based interface between client and server image processing objects |
US6003085A (en) * | 1995-06-07 | 1999-12-14 | Compaq Computer Corporation | Method and apparatus for context sensitive pathsend |
US6067514A (en) * | 1998-06-23 | 2000-05-23 | International Business Machines Corporation | Method for automatically punctuating a speech utterance in a continuous speech recognition system |
US6092100A (en) * | 1997-11-21 | 2000-07-18 | International Business Machines Corporation | Method for intelligently resolving entry of an incorrect uniform resource locator (URL) |
US6247043B1 (en) * | 1998-06-11 | 2001-06-12 | International Business Machines Corporation | Apparatus, program products and methods utilizing intelligent contact management |
Family Cites Families (166)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4255796A (en) | 1978-02-14 | 1981-03-10 | Bell Telephone Laboratories, Incorporated | Associative information retrieval continuously guided by search status feedback |
US4648044A (en) | 1984-06-06 | 1987-03-03 | Teknowledge, Inc. | Basic expert system tool |
US4823310A (en) | 1987-08-10 | 1989-04-18 | Wang Laboratories, Inc. | Device for enabling concurrent access of indexed sequential data files |
JPH0774984B2 (en) | 1991-06-10 | 1995-08-09 | インターナショナル・ビジネス・マシーンズ・コーポレイション | System resource utilization measurement method and data processing system |
US5963671A (en) * | 1991-11-27 | 1999-10-05 | International Business Machines Corporation | Enhancement of soft keyboard operations using trigram prediction |
CA2096374C (en) | 1992-05-18 | 2006-08-08 | Michael A. Sandifer | Computer aided maintenance and repair information system for equipment subject to regulatory compliance |
US5987474A (en) | 1995-08-04 | 1999-11-16 | Aircraft Technical Publishers | Computer aided maintenance and repair information system for equipment subject to regulatory compliance |
US5444823A (en) | 1993-04-16 | 1995-08-22 | Compaq Computer Corporation | Intelligent search engine for associated on-line documentation having questionless case-based knowledge base |
JPH07334625A (en) | 1994-06-06 | 1995-12-22 | Nec Corp | Character string input device |
US5715443A (en) | 1994-07-25 | 1998-02-03 | Apple Computer, Inc. | Method and apparatus for searching for information in a data processing system and for providing scheduled search reports in a summary format |
US5682538A (en) * | 1994-08-12 | 1997-10-28 | Wall Data Incorporated | Automatic adaptive computer screen generation |
JPH0875272A (en) | 1994-08-31 | 1996-03-19 | Tokyo Gas Co Ltd | Air conditioner |
US5805911A (en) * | 1995-02-01 | 1998-09-08 | Microsoft Corporation | Word prediction system |
US5748512A (en) | 1995-02-28 | 1998-05-05 | Microsoft Corporation | Adjusting keyboard |
US5790793A (en) | 1995-04-04 | 1998-08-04 | Higley; Thomas | Method and system to create, transmit, receive and process information, including an address to further information |
US5615337A (en) * | 1995-04-06 | 1997-03-25 | International Business Machines Corporation | System and method for efficiently processing diverse result sets returned by a stored procedures |
US5659732A (en) | 1995-05-17 | 1997-08-19 | Infoseek Corporation | Document retrieval over networks wherein ranking and relevance scores are computed at the client for multiple database documents |
US5911485A (en) * | 1995-12-11 | 1999-06-15 | Unwired Planet, Inc. | Predictive data entry method for a keypad |
US5754771A (en) * | 1996-02-12 | 1998-05-19 | Sybase, Inc. | Maximum receive capacity specifying query processing client/server system replying up to the capacity and sending the remainder upon subsequent request |
US5845300A (en) | 1996-06-05 | 1998-12-01 | Microsoft Corporation | Method and apparatus for suggesting completions for a partially entered data item based on previously-entered, associated data items |
US20040139396A1 (en) | 1996-06-28 | 2004-07-15 | Gelernter David H. | Stream-based information management system |
US5765168A (en) | 1996-08-09 | 1998-06-09 | Digital Equipment Corporation | Method for maintaining an index |
JPH10105562A (en) | 1996-09-26 | 1998-04-24 | Hitachi Ltd | Retrieval system |
US6078914A (en) | 1996-12-09 | 2000-06-20 | Open Text Corporation | Natural language meta-search system and method |
US5978800A (en) | 1997-03-14 | 1999-11-02 | Dainippon Screen Mfg. Co., Ltd. | Method of searching data for a given character string |
US6278992B1 (en) * | 1997-03-19 | 2001-08-21 | John Andrew Curtis | Search engine using indexing method for storing and retrieving data |
US6253228B1 (en) | 1997-03-31 | 2001-06-26 | Apple Computer, Inc. | Method and apparatus for updating and synchronizing information between a client and a server |
US6070184A (en) | 1997-08-28 | 2000-05-30 | International Business Machines Corporation | Server-side asynchronous form management |
US6233584B1 (en) * | 1997-09-09 | 2001-05-15 | International Business Machines Corporation | Technique for providing a universal query for multiple different databases |
US6377965B1 (en) | 1997-11-07 | 2002-04-23 | Microsoft Corporation | Automatic word completion system for partially entered data |
US5896321A (en) | 1997-11-14 | 1999-04-20 | Microsoft Corporation | Text completion system for a miniature computer |
US6535492B2 (en) * | 1999-12-01 | 2003-03-18 | Genesys Telecommunications Laboratories, Inc. | Method and apparatus for assigning agent-led chat sessions hosted by a communication center to available agents based on message load and agent skill-set |
US6421675B1 (en) | 1998-03-16 | 2002-07-16 | S. L. I. Systems, Inc. | Search engine |
US6201176B1 (en) | 1998-05-07 | 2001-03-13 | Canon Kabushiki Kaisha | System and method for querying a music database |
JP4286345B2 (en) * | 1998-05-08 | 2009-06-24 | 株式会社リコー | Search support system and computer-readable recording medium |
US6006225A (en) | 1998-06-15 | 1999-12-21 | Amazon.Com | Refining search queries by the suggestion of correlated terms from prior searches |
US6208339B1 (en) | 1998-06-19 | 2001-03-27 | International Business Machines Corporation | User-interactive data entry display system with entry fields having distinctive and changeable autocomplete |
US6275820B1 (en) | 1998-07-16 | 2001-08-14 | Perot Systems Corporation | System and method for integrating search results from heterogeneous information resources |
US20020138640A1 (en) | 1998-07-22 | 2002-09-26 | Uri Raz | Apparatus and method for improving the delivery of software applications and associated data in web-based systems |
US6732087B1 (en) * | 1999-10-01 | 2004-05-04 | Trialsmith, Inc. | Information storage, retrieval and delivery system and method operable with a computer network |
US6370518B1 (en) * | 1998-10-05 | 2002-04-09 | Openwave Systems Inc. | Method and apparatus for displaying a record from a structured database with minimum keystrokes |
US6453312B1 (en) | 1998-10-14 | 2002-09-17 | Unisys Corporation | System and method for developing a selectably-expandable concept-based search |
US6347312B1 (en) | 1998-11-05 | 2002-02-12 | International Business Machines Corporation | Lightweight directory access protocol (LDAP) directory server cache mechanism and method |
US6305008B1 (en) * | 1998-11-13 | 2001-10-16 | Microsoft Corporation | Automatic statement completion |
AU1838200A (en) | 1998-11-30 | 2000-06-19 | Siebel Systems, Inc. | Client server system with thin client architecture |
US6629132B1 (en) | 1998-12-23 | 2003-09-30 | Novell, Inc. | Predicate indexing of data stored in a computer with application to indexing cached data |
US6981215B1 (en) | 1998-12-31 | 2005-12-27 | Microsoft Corp. | System for converting event-driven code into serially executed code |
GB2347240A (en) | 1999-02-22 | 2000-08-30 | Nokia Mobile Phones Ltd | Communication terminal having a predictive editor application |
US6397212B1 (en) | 1999-03-04 | 2002-05-28 | Peter Biffar | Self-learning and self-personalizing knowledge search engine that delivers holistic results |
US6356905B1 (en) * | 1999-03-05 | 2002-03-12 | Accenture Llp | System, method and article of manufacture for mobile communication utilizing an interface support framework |
US7032030B1 (en) | 1999-03-11 | 2006-04-18 | John David Codignotto | Message publishing system and method |
US7596606B2 (en) | 1999-03-11 | 2009-09-29 | Codignotto John D | Message publishing system for publishing messages from identified, authorized senders |
US7000179B2 (en) | 1999-03-27 | 2006-02-14 | Movaris, Inc. | Method and apparatus for programmatic learned routing in an electronic form system |
US6704906B1 (en) | 1999-03-27 | 2004-03-09 | Movaris, Inc. | Self-directed routable electronic form system and method |
US6408294B1 (en) | 1999-03-31 | 2002-06-18 | Verizon Laboratories Inc. | Common term optimization |
US6745177B2 (en) | 1999-04-09 | 2004-06-01 | Metro One Telecommunications, Inc. | Method and system for retrieving data from multiple data sources using a search routing database |
US7526481B1 (en) | 1999-04-19 | 2009-04-28 | Oracle International Corporation | Web servers with queryable dynamic caches |
US7181459B2 (en) | 1999-05-04 | 2007-02-20 | Iconfind, Inc. | Method of coding, categorizing, and retrieving network pages and sites |
DE19922974A1 (en) | 1999-05-19 | 2000-11-23 | Star Division Corp | Method and device for processing a document |
EP1192716B1 (en) | 1999-05-27 | 2009-09-23 | Tegic Communications, Inc. | Keyboard system with automatic correction |
US7610194B2 (en) | 2002-07-18 | 2009-10-27 | Tegic Communications, Inc. | Dynamic database reordering system |
US7100116B1 (en) | 1999-06-02 | 2006-08-29 | International Business Machines Corporation | Visual indicator of network user status based on user indicator |
US6484162B1 (en) | 1999-06-29 | 2002-11-19 | International Business Machines Corporation | Labeling and describing search queries for reuse |
US6430558B1 (en) * | 1999-08-02 | 2002-08-06 | Zen Tech, Inc. | Apparatus and methods for collaboratively searching knowledge databases |
US6697849B1 (en) | 1999-08-13 | 2004-02-24 | Sun Microsystems, Inc. | System and method for caching JavaServer Pages™ responses |
US6539379B1 (en) * | 1999-08-23 | 2003-03-25 | Oblix, Inc. | Method and apparatus for implementing a corporate directory and service center |
US6571282B1 (en) | 1999-08-31 | 2003-05-27 | Accenture Llp | Block-based communication in a communication services patterns environment |
US6859908B1 (en) | 1999-08-31 | 2005-02-22 | Intel Corporation | Automated text entry for processor-based system |
US6862713B1 (en) | 1999-08-31 | 2005-03-01 | International Business Machines Corporation | Interactive process for recognition and evaluation of a partial search query and display of interactive results |
US7216292B1 (en) | 1999-09-01 | 2007-05-08 | Microsoft Corporation | System and method for populating forms with previously used data values |
US6539421B1 (en) | 1999-09-24 | 2003-03-25 | America Online, Inc. | Messaging application user interface |
US6633874B1 (en) | 1999-09-24 | 2003-10-14 | International Business Machines Corporation | Method for improving the performance of a web service by caching the most popular (real-time) information |
US6629092B1 (en) | 1999-10-13 | 2003-09-30 | Andrew Berke | Search engine |
KR100644579B1 (en) | 1999-10-26 | 2006-11-13 | 삼성전자주식회사 | Real-time audio/video communication device in internet and method thereof |
US6434547B1 (en) | 1999-10-28 | 2002-08-13 | Qenm.Com | Data capture and verification system |
US6496833B1 (en) | 1999-11-01 | 2002-12-17 | Sun Microsystems, Inc. | System and method for generating code for query object interfacing |
US9076448B2 (en) | 1999-11-12 | 2015-07-07 | Nuance Communications, Inc. | Distributed real time speech recognition system |
JP2001154789A (en) | 1999-11-30 | 2001-06-08 | Pfu Ltd | Information terminal and recording medium |
US7120692B2 (en) | 1999-12-02 | 2006-10-10 | Senvid, Inc. | Access and control system for network-enabled devices |
US6772150B1 (en) | 1999-12-10 | 2004-08-03 | Amazon.Com, Inc. | Search query refinement using related search phrases |
US6847959B1 (en) | 2000-01-05 | 2005-01-25 | Apple Computer, Inc. | Universal interface for retrieval of information in a computer system |
US6704727B1 (en) | 2000-01-31 | 2004-03-09 | Overture Services, Inc. | Method and system for generating a set of search terms |
US20020030843A1 (en) | 2000-02-02 | 2002-03-14 | Tuli Raja Singh | Portable high speed internet access device |
CN1449533A (en) | 2000-02-22 | 2003-10-15 | 英森·扬 | Method and system for maximizing credit card purchasing power and minimizing interest costs over the internet |
US7043530B2 (en) | 2000-02-22 | 2006-05-09 | At&T Corp. | System, method and apparatus for communicating via instant messaging |
US6922810B1 (en) * | 2000-03-07 | 2005-07-26 | Microsoft Corporation | Grammar-based automatic data completion and suggestion for user input |
US6993723B1 (en) * | 2000-04-17 | 2006-01-31 | Accenture Llp | Listing activities in a graphical user interface in a collaborative work tool Architecture |
US6564213B1 (en) | 2000-04-18 | 2003-05-13 | Amazon.Com, Inc. | Search query autocompletion |
US6578022B1 (en) | 2000-04-18 | 2003-06-10 | Icplanet Corporation | Interactive intelligent searching with executable suggestions |
US6952805B1 (en) | 2000-04-24 | 2005-10-04 | Microsoft Corporation | System and method for automatically populating a dynamic resolution list |
US6829607B1 (en) | 2000-04-24 | 2004-12-07 | Microsoft Corporation | System and method for facilitating user input by automatically providing dynamically generated completion information |
US7058944B1 (en) | 2000-04-25 | 2006-06-06 | Microsoft Corporation | Event driven system and method for retrieving and displaying information |
US20020123994A1 (en) * | 2000-04-26 | 2002-09-05 | Yves Schabes | System for fulfilling an information need using extended matching techniques |
US7383299B1 (en) * | 2000-05-05 | 2008-06-03 | International Business Machines Corporation | System and method for providing service for searching web site addresses |
US6879691B1 (en) | 2000-05-12 | 2005-04-12 | Bluetie, Inc. | Information autocompletion system |
US6751603B1 (en) | 2000-05-16 | 2004-06-15 | Sun Microsystems, Inc. | Autocomplete method and apparatus for data file selection |
US6671681B1 (en) | 2000-05-31 | 2003-12-30 | International Business Machines Corporation | System and technique for suggesting alternate query expressions based on prior user selections and their query strings |
AU2001271397A1 (en) | 2000-06-23 | 2002-01-08 | Decis E-Direct, Inc. | Component models |
US6772194B1 (en) * | 2000-06-27 | 2004-08-03 | Cisco Technology, Inc. | Directory band shell extension |
US7251775B1 (en) | 2000-06-30 | 2007-07-31 | Nokia Corporation | System and method for visual history presentation and management |
AU2001269891A1 (en) | 2000-07-07 | 2002-01-21 | Openwave Systems Inc. | Graphical user interface features of a browser in a hand-held wireless communication device |
AU2001286145A1 (en) | 2000-07-10 | 2002-01-21 | It Masters Technologies S.A. | System and method of enterprise systems and business impact management |
US6687696B2 (en) | 2000-07-26 | 2004-02-03 | Recommind Inc. | System and method for personalized search, information filtering, and for generating recommendations utilizing statistical latent class models |
AU2001283389A1 (en) | 2000-08-18 | 2002-03-04 | Anderson Merchandisers Lp | System and method for an interactive shopping news and price information service |
US20020055981A1 (en) * | 2000-08-31 | 2002-05-09 | Frederic Spaey | System and method for remotely browsing structured data |
US6647383B1 (en) | 2000-09-01 | 2003-11-11 | Lucent Technologies Inc. | System and method for providing interactive dialogue and iterative search functions to find information |
US6598051B1 (en) | 2000-09-19 | 2003-07-22 | Altavista Company | Web page connectivity server |
US6832218B1 (en) | 2000-09-22 | 2004-12-14 | International Business Machines Corporation | System and method for associating search results |
US7451136B2 (en) * | 2000-10-11 | 2008-11-11 | Microsoft Corporation | System and method for searching multiple disparate search engines |
US6823514B1 (en) | 2000-11-14 | 2004-11-23 | International Business Machines Corporation | Method and system for caching across multiple contexts |
US7139751B1 (en) * | 2000-12-01 | 2006-11-21 | Juniper Networks, Inc. | Searching and reusing information from previously executed control instructions in a data forwarding device |
US20020078045A1 (en) | 2000-12-14 | 2002-06-20 | Rabindranath Dutta | System, method, and program for ranking search results using user category weighting |
US20020083182A1 (en) | 2000-12-18 | 2002-06-27 | Alvarado Juan C. | Real-time streamed data download system and method |
GB2377784B (en) | 2001-02-12 | 2003-11-05 | Altio Ltd | A presentation server which enables a client device to run a network based application |
US6915279B2 (en) | 2001-03-09 | 2005-07-05 | Mastercard International Incorporated | System and method for conducting secure payment transactions |
CA2340531C (en) * | 2001-03-12 | 2006-10-10 | Ibm Canada Limited-Ibm Canada Limitee | Document retrieval system and search method using word set and character look-up tables |
JP2002288201A (en) | 2001-03-23 | 2002-10-04 | Fujitsu Ltd | Question-answer processing method, question-answer processing program, recording medium for the question- answer processing program, and question-answer processor |
US7099871B2 (en) | 2001-05-04 | 2006-08-29 | Sun Microsystems, Inc. | System and method for distributed real-time search |
US7346667B2 (en) | 2001-05-31 | 2008-03-18 | Ubs Ag | System for delivering dynamic content |
US7308439B2 (en) | 2001-06-06 | 2007-12-11 | Hyperthink Llc | Methods and systems for user activated automated searching |
US20070016563A1 (en) | 2005-05-16 | 2007-01-18 | Nosa Omoigui | Information nervous system |
US7240045B1 (en) | 2001-07-24 | 2007-07-03 | Brightplanet Corporation | Automatic system for configuring to dynamic database search forms |
US6912715B2 (en) | 2001-07-30 | 2005-06-28 | Appeon Corporation | System and method for web-based remote procedure call (RPC) |
US7284191B2 (en) | 2001-08-13 | 2007-10-16 | Xerox Corporation | Meta-document management system with document identifiers |
US20050022114A1 (en) | 2001-08-13 | 2005-01-27 | Xerox Corporation | Meta-document management system with personality identifiers |
US6928425B2 (en) | 2001-08-13 | 2005-08-09 | Xerox Corporation | System for propagating enrichment between documents |
US7133862B2 (en) | 2001-08-13 | 2006-11-07 | Xerox Corporation | System with user directed enrichment and import/export control |
US6820075B2 (en) | 2001-08-13 | 2004-11-16 | Xerox Corporation | Document-centric system with auto-completion |
US7117432B1 (en) | 2001-08-13 | 2006-10-03 | Xerox Corporation | Meta-document management system with transit triggered enrichment |
US6778979B2 (en) | 2001-08-13 | 2004-08-17 | Xerox Corporation | System for automatically generating queries |
US6732090B2 (en) | 2001-08-13 | 2004-05-04 | Xerox Corporation | Meta-document management system with user definable personalities |
US8112529B2 (en) | 2001-08-20 | 2012-02-07 | Masterobjects, Inc. | System and method for asynchronous client server session communication |
US7752326B2 (en) | 2001-08-20 | 2010-07-06 | Masterobjects, Inc. | System and method for utilizing asynchronous client server communication objects |
US20030071850A1 (en) | 2001-10-12 | 2003-04-17 | Microsoft Corporation | In-place adaptive handwriting input method and system |
US7089228B2 (en) | 2002-04-18 | 2006-08-08 | International Business Machines Corporation | Computer apparatus and method for caching results of a database query |
US7130843B2 (en) | 2002-05-20 | 2006-10-31 | International Business Machines Corporation | Method, system and program product for locating personal information over a network |
US7039635B1 (en) | 2002-06-11 | 2006-05-02 | Microsoft Corporation | Dynamically updated quick searches and strategies |
US7185271B2 (en) | 2002-08-20 | 2007-02-27 | Hewlett-Packard Development Company, L.P. | Methods and systems for implementing auto-complete in a web page |
US20040093562A1 (en) | 2002-08-23 | 2004-05-13 | Diorio Donato S. | System and method for a hierarchical browser |
US7424510B2 (en) | 2002-09-03 | 2008-09-09 | X1 Technologies, Inc. | Methods and systems for Web-based incremental searches |
US8005919B2 (en) | 2002-11-18 | 2011-08-23 | Aol Inc. | Host-based intelligent results related to a character stream |
US7559018B2 (en) | 2003-09-10 | 2009-07-07 | Sas Institute Inc. | Computer-implemented system and method for data collection |
US7467131B1 (en) | 2003-09-30 | 2008-12-16 | Google Inc. | Method and system for query data caching and optimization in a search engine system |
US7856432B2 (en) | 2003-10-27 | 2010-12-21 | Sap Ag | Systems and methods for searching and displaying search hits in hierarchies |
US7890526B1 (en) | 2003-12-30 | 2011-02-15 | Microsoft Corporation | Incremental query refinement |
WO2005109908A2 (en) | 2004-04-30 | 2005-11-17 | Vulcan Inc. | Maintaining a graphical user interface state that is based on a selected piece of content |
WO2005109907A2 (en) | 2004-04-30 | 2005-11-17 | Vulcan Inc. | Maintaining a graphical user interface state that is based on a selected time |
US7840557B1 (en) | 2004-05-12 | 2010-11-23 | Google Inc. | Search engine cache control |
US7836044B2 (en) | 2004-06-22 | 2010-11-16 | Google Inc. | Anticipated query generation and processing in a search engine |
US7499940B1 (en) | 2004-11-11 | 2009-03-03 | Google Inc. | Method and system for URL autocompletion using ranked results |
US7788248B2 (en) | 2005-03-08 | 2010-08-31 | Apple Inc. | Immediate search feedback |
US20060242109A1 (en) | 2005-04-25 | 2006-10-26 | Microsoft Corporation | Server-deployed cache list management for presenting an auto-complete list |
US7840589B1 (en) | 2005-05-09 | 2010-11-23 | Surfwax, Inc. | Systems and methods for using lexically-related query elements within a dynamic object for semantic search refinement and navigation |
US7747639B2 (en) | 2005-08-24 | 2010-06-29 | Yahoo! Inc. | Alternative search query prediction |
US7672932B2 (en) | 2005-08-24 | 2010-03-02 | Yahoo! Inc. | Speculative search result based on a not-yet-submitted search query |
US7516124B2 (en) | 2005-12-20 | 2009-04-07 | Yahoo! Inc. | Interactive search engine |
KR20070024771A (en) | 2005-08-30 | 2007-03-08 | 엔에이치엔(주) | System and method for providing automatically completed query using automatic query transform |
US8204950B2 (en) | 2005-09-15 | 2012-06-19 | Qwest Communications International Inc. | Webpage search |
US7676517B2 (en) | 2005-10-14 | 2010-03-09 | Microsoft Corporation | Search results injected into client applications |
US8260713B2 (en) | 2006-08-23 | 2012-09-04 | Royaltyshare, Inc. | Web-based system providing royalty processing and reporting services |
US20090119581A1 (en) * | 2007-11-05 | 2009-05-07 | Verizon Data Services Inc. | Method and apparatus for providing auto-completion of information using strings |
US7890516B2 (en) | 2008-05-30 | 2011-02-15 | Microsoft Corporation | Recommending queries when searching against keywords |
US8131258B2 (en) | 2009-04-20 | 2012-03-06 | Boku, Inc. | Systems and methods to process transaction requests |
US9734251B2 (en) | 2010-01-12 | 2017-08-15 | Excalibur Ip, Llc | Locality-sensitive search suggestions |
US9323828B2 (en) | 2010-05-11 | 2016-04-26 | International Business Machines Corporation | Complex query handling |
US9515867B2 (en) * | 2012-11-14 | 2016-12-06 | Verizon Patent And Licensing Inc. | Intelligent command builder and executer |
-
2001
- 2001-08-20 US US09/933,493 patent/US8112529B2/en not_active Expired - Fee Related
-
2002
- 2002-08-14 EP EP02763441.9A patent/EP1425677B1/en not_active Expired - Lifetime
- 2002-08-14 WO PCT/US2002/025729 patent/WO2003021462A1/en not_active Application Discontinuation
-
2012
- 2012-02-06 US US13/366,905 patent/US8539024B2/en not_active Expired - Fee Related
-
2013
- 2013-09-16 US US14/027,645 patent/US9760628B2/en not_active Expired - Fee Related
-
2016
- 2016-12-22 US US15/387,985 patent/US10394866B2/en not_active Expired - Fee Related
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5581753A (en) * | 1994-09-28 | 1996-12-03 | Xerox Corporation | Method for providing session consistency guarantees |
US5634127A (en) * | 1994-11-30 | 1997-05-27 | International Business Machines Corporation | Methods and apparatus for implementing a message driven processor in a client-server environment |
US5701461A (en) * | 1995-01-27 | 1997-12-23 | Microsoft Corporation | Method and system for accessing a remote database using pass-through queries |
US5802292A (en) | 1995-04-28 | 1998-09-01 | Digital Equipment Corporation | Method for predictive prefetching of information over a communications network |
US6003085A (en) * | 1995-06-07 | 1999-12-14 | Compaq Computer Corporation | Method and apparatus for context sensitive pathsend |
US5928335A (en) * | 1996-10-30 | 1999-07-27 | Ricoh Company, Ltd. | Client/server system having middleware-based interface between client and server image processing objects |
US6092100A (en) * | 1997-11-21 | 2000-07-18 | International Business Machines Corporation | Method for intelligently resolving entry of an incorrect uniform resource locator (URL) |
US6247043B1 (en) * | 1998-06-11 | 2001-06-12 | International Business Machines Corporation | Apparatus, program products and methods utilizing intelligent contact management |
US6067514A (en) * | 1998-06-23 | 2000-05-23 | International Business Machines Corporation | Method for automatically punctuating a speech utterance in a continuous speech recognition system |
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WO2003021462A8 (en) | 2003-09-12 |
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EP1425677A4 (en) | 2008-04-23 |
US20030041147A1 (en) | 2003-02-27 |
US8112529B2 (en) | 2012-02-07 |
EP1425677B1 (en) | 2018-10-17 |
US10394866B2 (en) | 2019-08-27 |
US20140095539A1 (en) | 2014-04-03 |
US8539024B2 (en) | 2013-09-17 |
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