BR112016030120B1 - METHOD IMPLEMENTED BY COMPUTER TO PROVIDE A CONSULTATION SUGGESTION AND SYSTEM CONFIGURED TO PROVIDE CONSULTATION SUGGESTIONS - Google Patents

Abstract

METHOD IMPLEMENTED BY COMPUTER TO PROVIDE A CONSULTATION SUGGESTION AND SYSTEM CONFIGURED TO PROVIDE CONSULTATION SUGGESTIONS. These are technologies for providing query suggestions. To provide a query suggestion, you can detect a hit on a data source. An initial query suggestion for a data source query can then be identified based, at least in part, on non-query-based data. The initial query suggestion can then be returned for display in a user interface (UI) element. Additional query suggestions may also be provided based on non-query-based data in response to a query modification.

Description

BACKGROUND

[001] When a connection to an external data source (for example, configuring a spreadsheet to make a connection to a database) is created, it can be quite difficult for a user to construct queries that show information that the user wants to retrieve. To get the information that the user wants to retrieve, a user building a connection may need to understand the data that is available from the data source. For example, a user may need to understand field names, table organization, and/or relationships between tables in order to efficiently compile a query. Without understanding data source organization, users are often forced to search through quite large data sources to locate fields of interest. Given the complexity of this task and the detailed knowledge of the data source required, many users give up compiling their own queries.

[002] It is in relation to these and other considerations that the disclosure made in this document is presented.

SUMMARY

[003] Technologies are described in this document to provide consultation suggestions. To provide a query suggestion, a hit on a data source can be detected. A suggestion for a search query for the data source can then be determined based, at least in part, on non-query-based data (that is, data not contained in the query). The suggestion can then be passed back to a client for display in an appropriate user interface ("UI") element.

[004] It should be understood that the matter described above may also be implanted as a computer-controlled apparatus, a computer-implanted process, a computing system or as an article of manufacture as a computer-readable medium. While the technologies presented in this document are primarily disclosed in the context of providing query suggestions based at least initially on non-query-based data, the concepts and technologies disclosed in this document may also be used to provide additional suggestions based on query data as well. These and many other features will become evident upon reading the following Detailed Description and a review of the associated drawings.

[005] This Summary is provided to introduce a selection of concepts in a simplified form which will be further described below in the Detailed Description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is this summary intended to be used to limit the scope of the claimed subject matter. Furthermore, the claimed subject matter is not limited to implantations that overcome any or all of the drawbacks found elsewhere in this disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

[006] Figure 1 is a network diagram showing aspects of an illustrative operating environment and various software components disclosed herein;

[007] Figure 2 is a flowchart showing aspects of an illustrative routine for processing user queries;

[008] Figure 3 is a flowchart showing aspects of an illustrative routine for providing query suggestions;

[009] Figures 4A to 4D are UI diagrams that show aspects of several illustrative UIs to provide consultation suggestions, according to the various configurations presented in this document;

[0010] Figure 5 is a computer architecture diagram showing an illustrative computer hardware and software architecture;

[0011] Figure 6 is a diagram illustrating a distributed computing environment that can deploy aspects of the technologies presented in this document; It is

[0012] Figure 7 is a computer architecture diagram illustrating a computing device architecture that can deploy aspects of the technologies presented in this document.

DETAILED DESCRIPTION

[0013] The following detailed description is directed at technologies to provide query suggestions. Query suggestions can be provided through a graphical UI or an element thereof. Query suggestions may at least initially be based on non-query-based data, such as, for example, identity data, profiling data, contextualized information or other non-query-based data. Additional query suggestions can also be based on query data, such as, for example, partial query statements, full query statements, or any combinations thereof that are related to a query that is created and/or manipulated.

[0014] As briefly discussed above, novice users of database and data processing systems may have difficulty putting together database queries. Using an implementation of the technologies disclosed in this document, however, query suggestions can be provided to beginning users (and more advanced users) such that complete and appropriate data queries are created based at least initially on non-query-based data. Through the use of non-query-based data, an initial query suggestion can be generated and provided to a user to display a partial set of query results. Subsequently, additional query suggestions may also be provided based on the partial set of query results and non-query-based data, with additional partial results displayed based on selected suggestions. In this way, novice users can visualize the progress of results through the selective creation/construction of a query through the suggestions and, even, can more easily determine how to structure future queries.

[0015] Consequently, an implementation of the technologies disclosed in this document may require a reduced effort from novice users who wish to create a database query. Additionally, by utilizing the technologies disclosed in this document, users may have the ability to create a more complete initial database query. Reduced effort may also be required from users when future queries are created. More and more accurate query suggestions can also be provided that are based on stored or previous query usage. Although listed separately, it should be noted that the benefits described above can be achieved individually, independently, or in partial/total combination according to any desired deployment of the technologies disclosed herein. Furthermore, additional benefits may become evident through an implementation of the technologies described in this document.

[0016] Although the subject matter described herein is presented in the general context of program modules that run in conjunction with running an operating system and application programs on a computer system, those skilled in the art will recognize that other deployments can be performed in combination with other types of program modules. In general, program modules include routines, programs, components, data structures, and other types of structures that perform particular tasks or implement particular types of abstract data. Furthermore, those skilled in the art will understand that the subject matter described herein may be practiced with other computer system configurations, including handheld devices, multiprocessor systems, microprocessor-based or programmable consumer electronics, minicomputers, mainframes, and the like.

[0017] In the following detailed description, references are made to the attached drawings which form a part of the present document and are shown by way of illustration of configurations or specific examples. With reference now to the drawings, in which like numerals represent like elements throughout the various Figures, aspects of a computing system and methodology for providing query suggestions will be described.

[0018] With respect to Figure 1, details will be provided regarding an illustrative operating environment and various software components disclosed in this document. In particular, Figure 1 shows aspects of a system 100 for providing query suggestions. System 100 includes one or more client computers 101A and 101B (which may be referred to herein in the singular as a "client 101") in operational communication with a data processing system 140. Clients 101 may be any suitable computer system including, but not limited to, desktop or laptop-type personal computers, tablet-type computing devices, smart phones, other types of mobile devices, or the like.

[0019] The clients 101 can be configured to run software products, such as applications 103 that provide user interfaces 102 for creating, editing and submitting queries to access information stored in the data processing system 140. In this regard, the clients 101 can provide one or more queries 120A and can receive query results 121A in response thereto. Queries 120A may be sent for transmission over a network (not shown in Figure 1) in some configurations. The network may include a computer communications network such as the Internet, a local area network ("LAN"), a wide area network ("WAN"), or any other type of network and may be used to send queries 120A to data processing system 140 for query processing and subsequently to return query results 121A. Sending queries 120A and returning query results 121A are described more fully below with reference to Figure 2.

[0020] As shown in Figure 1, a query 120B and non-query-based data 124 may be sent by one or more clients 101 for transmission to the data processing system 140. The query 120B may include partial query statements, full query statements, or any combination thereof. Query 120B may also include information relating to a partial query or a new query that is currently processed or compiled through the suggestions provided by the mechanism disclosed herein.

[0021] Data not based on query 124 may include contextual information, identifying information, user profile data or any other appropriate information not contained in query 120B. Non-query-based data 124 may also include metadata related to activities on a client 101 in some deployments. For example, non-query-based data 124 may describe activities related to accessing the data processing system 140 or a data source 141, activities related to contacting or communicating with other users or customers, or other similar activities that may, in turn, be used to more accurately determine query suggestions 125.

[0022] According to at least one embodiment, the non-query-based data 124 includes data describing a user of a customer 101, such as employment data, employee identification data, employee group/committee data, and other similar data. In another embodiment, non-query-based data 124 includes data describing current or anticipated activities for a user of a customer 101, such as, for example, data describing typical data source usage for the user or for similar users, data describing a typical query structure for the user or for similar users, and other similar data. Additionally, non-query-based data 124 may include company or corporate information in some deployments. Non-query-based data 124 may also include other forms of data that are not included in a query 120B without departing from the scope of this disclosure.

[0023] As described in detail below, non-query-based data 124 can be used to identify queries created by users or customers 101 referring to a user or customer 101 who wants to create a new query. Responsive to data transmission not based on 124 consultation, one or more consultation suggestions 125 may be returned to the customer 101. In addition, by selecting any suggestion of Consultation 125, a sulta 120b can be updated to reflect the selection and/or changes and can be transmitted to the data processing system 140. After that, additional consultation suggestions may be provided to customer 101 . Sending non-query-based data 124, a query 120B and returning query suggestion 125 are described more fully below with reference to Figures 3 to 4

[0024] As illustrated in Figure 1, the data processing system 140 includes various components configured to perform processing functions as described herein regarding processing and storing queries 120, processing non-query-based data 124, returning query results 121 and query suggestions 125, and other functionality. For example, data processing system 140 may be configured to receive and process queries 120 on one or more of a plurality of data sources 141 (which may be referred to herein in the singular as a "data source 141" and/or in the plural as the "data sources 141").

[0025] Generally, a data source 141 receives a query 120A, performs the query based on query statements contained therein, and returns the results of query 121A. Additionally, in accordance with aspects of the technologies presented herein, prior query information 142 may be populated with prior queries and/or metadata that describe non-query-based data 124 associated with the prior queries. Accordingly, at least a portion of query 120A may be stored as prior query information 142 along with non-query-based data 124 associated with customers 101 and users thereof. Although described as "prior" query information, it should be understood that the prior query information 142 may also include a set of basic query statements, a set of pre-populated query statements reflective of some non-query-based data 124, a set of standard query statements, and/or any query information that is not directly based on previously submitted or completed queries 120A.

[0026] It is noted that the acts described above as related to data sources 141 and previous query information 142 can be performed continuously according to some configurations. In this way, as new queries 120 are received, one or more portions of the queries sent may be stored as previous query information 142, in addition to the basic information described above, for use in providing query suggestions 125 as described below.

[0027] As shown in Figure 1, the data processing system 140 includes a query suggestion service layer 143 performed thereon in one configuration. The query suggestion service layer 143 is a software service or application and may be separately integrated within each data source 141 (not shown) in some deployments. However, query suggestion service layer 143 may also run as a standalone query suggestion service layer (as illustrated) in some deployments.

[0028] The query suggestion service layer 143 is configured to process received non-query suggestion 124 data and to generate a query suggestion 125 based on the query 120B, non-query suggestion data 124 and stored previous query information 142. The query suggestion service layer 143 compares information in the non-query suggestion data 124 to return an initial query suggestion 125. The initial query suggestion 125 can be a partial or complete query statement, an organizing statement, a filtering statement, or another portion of a query. Initial query suggestion 125 may be provided as a user interface (UI) element in some deployments.

[0029] The query suggestion service layer 143 may continuously process non-query-based data 124, queries 120 and stored previous query information 142 to actively score or categorize potential query suggestions. Categorization may be based on a measure of confidence that a particular query suggestion is relevant to a user based on non-query-based data 124, query 120 and previous query information 142. Consequently, one or more query suggestions 125 may be generated, categorized and a portion of them (or at least one of them) may be presented as the initial query suggestion 125. Alternatively, several categorized query suggestions may be provided as a set of initial query suggestions 125.

[0030] Upon acceptance, selection or other action taken in the initial suggestion, the query suggestion service layer 43 may provide additional query suggestions 125 such that a query is constructed from individual suggestions, new query statement portions 120B provided by a user, or any combination thereof. Generally, the initial query suggestion 125 and additional query suggestions 125 may be determined by comparing and/or correlating metadata or querying 120 with prior query information 142 and/or prior metadata information. In this way, as new suggestions 125 are selected and the query 120B is manipulated, additional suggestions are generated based on the applied suggestions. The construction of a query 120B through the suggestions 125 described above is described more fully with reference to Figures 4A to 4D.

[0031] Referring now to Figure 2, additional details will be provided regarding the processing of queries by the data processing system 140 and the collection and storage of previous query information 142. In particular, Figure 2 is a flowchart showing aspects of an illustrative method 200 for processing queries of data 120, in an embodiment shown herein.

[0032] As illustrated, method 200 includes receiving a query 120A from a client computer 101 at block 202. For example, in the example shown in Figure 1, the received query 120A is directed to at least one data source 141. Accordingly, the data source 141 receives and processes the query 120A to produce query results 121A in that example.

[0033] Additionally, in response to receipt of the query 120A, the method 200 further includes collecting non-query-based data 124 related to the client computer 101 at block 204. The non-query-based data 124 may take any of the forms described above and may be collected by the target data source 141 for storage as prior query information 142. Upon collecting the non-query-based data 124, at least a portion of the query received and/or processed 120A and the collected non-query-based data 124 may be stored as prior query information 142 in block 206. Additional queries 120 may be received and processed as described above with respect to blocks 202-206. zenados may be used as described below to generate query suggestions 125 based on recently collected non-query-based data 124 and/or a query 120B.

[0034] With respect to Figure 3, additional details will be provided regarding the technologies presented herein to provide one or more query suggestions 125. In particular, Figure 3 is a flowchart showing aspects of an illustrative method 300 for processing non-query-based data 124 by the query-suggestion service layer 143.

[0035] Method 300 includes receiving a query 120B from a client 101 at block 302. While described as receiving a real query 120B, it should be understood that method 300 and block 302 may be adaptable to begin execution by opening a file, opening a previous query, acting upon a standard query, acting upon a data file, or any other suitable act via a client 101, application 1 03, and/or user interface 102. Accordingly, block 302 may also include detecting access to a data source 141, starting a client 101, starting an application 103, or other type of action via user interface 102. Access to data source 141 may encompass a request for access to data stored in data source 141, through, for example, user interfaces 102, input arguments in a portion of a query statement or other suitable means of data access.

[0036] The method 300 further includes collecting non-query-based data 124 and/or processing a query 120B in block 304. For example, non-query-based data 124 referring to a customer 101 and/or a user thereof can be received at the query suggestion service layer 143. Thereafter, the query suggestion service layer 143 can analyze the non-query suggestion data 124, a query 120B, and/or prior query information 142 to determine an initial query suggestion 125 at block 306. The initial query suggestion 125 is provided to the client 101 at block 308.

[0037] Upon action by the client 101 on the initial query suggestion 125, the query suggestion service layer 143 may provide additional query suggestions 125 based on the non-query suggestion based data 124, the query 120B, and/or the previous query information 142. For example, the query suggestion service layer 143 or the data source 141 may determine that a query change is evident after the query suggestion is provided 125 at block 310. When a query change has been detected, the change is applied to the query 120B at block 312 and the query 120B is processed at block 304. Alternatively, no query change may be detected at block 310 and the method may restart receiving information to determine new query suggestions 125. The information from the processed query 120B and non-query based data 124 can then be used to determine new query suggestions 125 through the iteration of blocks 306 to 312.

[0038] It is noted that, according to some deployments, only the initial query suggestion 125 based on the non-query-based data 124 can be provided. Under other deployments, additional iterations of query suggestions 125 may also be provided. Additionally, the query suggestions 125 acted on the client 101 can be manipulated by a user, thereby creating a new query 120B to be used for new query suggestions 125. In this way, many different query suggestions 125 relating to actions on the client 101, a query 120B, and/or data not based on the query 124 can be provided by the query suggestion service layer 143 and many different queries can be compiled.

[0039] Consultation suggestions 125 can take a variety of forms. For example, query suggestions 125 may include a textual hint such as a textual autocomplete suggestion for a portion of a textual query statement that is created through user interface 102. Query suggestions 125 may include a UI element rendered through user interface 102. The UI element may include any desired graphical element and may fully or partially describe a query suggestion 125.

[0040] Upon action by the client 101 on the query suggestion 125, the user interface 102 may at least partially render results on the query suggestion 125 based on the action. For example, if a specific query suggestion 125 is selected, the results of the selection can be at least partially rendered through the user interface 102. Additionally, manipulation of the whole or partial results can also be possible, for example, through manipulation of the user interface 102 or individual elements rendered therein. Illustrative user interfaces and individual UI elements are described below with reference to Figures 4A through 4D.

[0041] Figures 4A to 4D are user interface diagrams showing aspects of an illustrative user interface provided by an illustrative application 103, in accordance with various configurations shown herein. The user interface described in relation to Figures 4A to 4D can be arranged similar to a spreadsheet interface for a spreadsheet application that has access to one or more data sources and/or data processing systems. Other user interfaces are also applicable and, therefore, the present disclosure is not limited to the specific forms of interfaces illustrated, but to any available user interface.

[0042] Returning to Figure 4A, an illustrative user interface 102 will be described to present query suggestions. As shown, user interface 102 includes a plurality of columns 401 representing fields of data accessed through a query 120 on data target 141. The query 120, in this example, includes "ID + Name information". The queried data is displayed in rows in Figure 4A. However, it should be understood that any desired form of data display can be implemented without departing from the scope of this disclosure. For example, pivot tables, graphs, plots or any other suitable query structure or element that can be displayed through interface 102 are applicable. Consequently, some deployments of the technologies disclosed herein may deviate from these particular illustrated ways without departing from the scope of this disclosure. Additionally, although illustrated as including data fields accessed through at least partial processing of a query, it can be varied such that no data fields are present initially, for example if a new document or a blank document is being opened.

[0043] The user interface 102 also includes a query suggestion UI element 403 rendered therein. The 403 Query Suggestion UI element may signal access to or a request to access a data source 141 as described above. Additionally or alternatively, the query suggestion UI element 403 may signal a request for a query suggestion 125. Additionally, the query suggestion UI element 403 may indicate that a new query suggestion 125 is available to a user upon selection of the element 403. For example, the query suggestions service layer 143 may have continuously calculated, categorized and determined one or more query suggestions 125 for consumption by a user. Upon selection by a user of the query suggestion UI element 403, the query suggestion service layer 143 may provide one or more query suggestions 125, as illustrated in Figure 4B.

[0044] The user interface 102A of Figure 4B includes two query suggestions 125A and 125B rendered therein. It should be understood that an alternative identification of the query hint 125 such as, for example, an identification comprising symbols representative of the actual content of the query hint 125 may also be implemented. For example, query suggestion 125A may comprise accessing a data field identified as "Job Information". Additionally, query suggestion 125B may comprise accessing a data field identified as "Address".

[0045] Generally, query suggestions 125A and 125B and other query suggestions 125 described herein may be based at least partially on non-query-based data 124. As described above, non-query-based data can take a variety of forms, including employment data. In this particular example, the non-query-based data 124 may indicate a user of interface 102A as belonging to a specific group of employees. Additionally, the specific group of employees can regularly generate queries that include both "Address" and "Job Information". Accordingly, as illustrated in this example, query suggestions 125A and 125B are based at least in part on the likelihood that a specific employee group member would typically include "Address" and/or "Job Information" in a query. It should be readily understood that other forms and ways of taking into account non-query-based data 124 are also applicable. Thereafter, if query suggestion 125A is selected, the data field named "Job Information" can be appended to the query and displayed on user interface 102B, as illustrated in Figure 4C.

[0046] As shown in Figure 4C, the user interface 102B includes query suggestion 125A rendered therein adjacent to the previous data fields of column 401A and column 401B. In this way, a new query 120 was compiled having results displayed in columns 401A to 401C. Additional forms of query suggestions 125 are also possible. For example, query suggestions 125C and 125D may include filtering and/or organizing actions based on the queried and displayed data fields. In this particular example, query suggestion 125C represents filtering the displayed data based on a specific name (eg J. Doe) from column 401B. For example, query hint 125C might represent filtering by "Name = J. Doe" or another similar hint. Other filtering suggestions can include both a hidden filtering option and a filter argument in combination. For example, although a "State" is not illustrated as being rendered in the user interface 102B, the query suggestion 125C could possibly represent filtering by "State=Active" or other filtering options and similar arguments depending on non-query-based data 124, selected query suggestions 125, and/or previous query information 142.

[0047] As further illustrated, query suggestion 125D represents the organization of displayed data based on information in "Job Information". Other sorting arguments are also applicable depending on non-query-based data 124, selected query suggestions 125, and/or past query information 142. Consequently, if query hint 125D is selected, data displayed on user interface 102B is sorted based on "Job Information" through sorting operation 422, as illustrated in Figure 4D.

[0048] The user interface 102C illustrated in Figure 4D shows the data sorting operation 422 and the sorting results. Additionally, more 403 query suggestion UI elements may be rendered to indicate new query suggestions, to request new query suggestions, to request additional query suggestions, or other appropriate actions or indications.

[0049] It should be understood that the logic operations described above and elsewhere in this document may be implemented (1) as a sequence of actions implemented by computer or program modules executed in a computing system and/or (2) as circuit modules or machine logic circuits interconnected in the computing system. Deployment is a matter of choice dependent on the performance and other requirements of the computing system. Consequently, the logical operations described in this document are referred to variously as states, operations, structural devices, actions or modules. These operations, structural devices, actions, and modules can be implemented in software, in firmware, in special purpose digital logic, and any combination thereof. It should be understood that more or less operations can be performed than shown in the Figures and described in the present document. These operations can also be performed in an order other than those described in this document.

[0050] Figure 5 illustrates an illustrative computer architecture 500 for an apparatus that can execute the software components described herein to provide query suggestions. Thus, the computer architecture 500 illustrated in Figure 5 illustrates an architecture for a server computer, mobile phone, a PDA, a smart phone, a desktop computer, a netbook computer, a tablet computer, and/or a laptop computer. Computer architecture 500 can be used to run any aspect of the software components disclosed herein.

[0051] The computer architecture 500 illustrated in Figure 5 includes a central processing unit 502 ("CPU"), system memory 504, including random access memory 506 ("RAM") and read-only memory ("ROM") 508, and a system bus 510 that couples memory 504 to CPU 502. A basic input/output system containing the basic routines that help transfer information between elements in the computer architecture 500, such as during startup, is stored in ROM 508. The computer architecture 500 further includes a mass storage device 512 for storing operation 518 and one or more application programs that include, but are not limited to, the query suggestion service layer 143 and prior query information 142.

[0052] The mass storage device 512 is connected to the CPU 502 via a mass storage controller (not shown) connected to the bus 510. The mass storage device 512 and its associated computer readable medium provide non-volatile storage for the computer architecture 500. Although the description of computer readable medium contained herein refers to a mass storage device such as a hard disk or a CD-ROM drive, it should be understood by those skilled in the art that the computer-readable medium can be any available computer-readable medium or communication medium that can be accessed by computer architecture 500.

[0053] The communication media includes computer-readable instructions, data structures, program modules, or other data on a modulated data signal, such as a carrier wave or other transport mechanism, and includes any delivery means. The term "modulated data signal" means a signal that has one or more of its characteristics altered or adjusted in such a way as to encode information into the signal. By way of example, and not limitation, communication media include wired media such as a wired network or direct wired connection, and wireless media such as acoustic, RF, infrared, and other wireless media. Combinations of the foregoing should also fall within the scope of computer-readable media.

[0054] By way of example, and not limitation, computer storage media may include volatile and non-volatile media, removable and non-removable media implanted in any method or technology for storing information, such as computer-readable instructions, data structures, program modules or other data. For example, computer media include, without limitation, RAM, ROM, EPROM, EEPROM, flash memory or other solid-state memory technology, CD-ROM, digital versatile disks ("DVD"), HD-DVD, BLU-RAY, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and that can be accessed by computer architecture 500. For purposes of the claims, the term "computer storage medium" and variations thereof, does not include waves or signals per se and/or media.

[0055] According to various embodiments, the computer architecture 500 can operate in a networked environment using logical connections to remote computers through a network such as a network 104. The computer architecture 500 can connect to the network 104 through a network interface unit 516 connected to the bus 510. It should be understood that the network interface unit 516 can also be used to connect remote computer systems to other types of networks , for example, a data processing system 140 and/or clients 101. Computer architecture 500 may also include an input/output controller 518 for receiving and processing input from various other devices, including a keyboard, mouse, or electronic stylus pen (not shown in Figure 5). Similarly, input/output control 518 may provide output to a display screen, printer, or other type of output device (not shown in Figure 5).

[0056] It should be understood that the software components described in this document can, when loaded on the CPU 502 and executed, transform the CPU 502 and the general computer architecture 500 from a general purpose computing system to a special purpose computing system customized to facilitate the functionality presented in this document. CPU 502 can be constructed from any number of transistors or other discrete circuit elements, which can individually or collectively assume any number of states. More specifically, CPU 502 can operate as a finite state machine, in response to executable instructions contained in software modules disclosed herein. These computer-executable instructions can transform the CPU 502 by specifying how the CPU 502 transitions between states, thereby transforming the transistors or other discrete hardware elements that make up the CPU 502.

[0057] The encoding of the software modules presented in this document can also transform the physical structure of the computer-readable media presented in this document. The specific physical structure transformation may depend on several factors, in different deployments of this description. Examples of such factors may include, without limitation, the technology used to deploy the computer-readable medium, whether the computer-readable medium is characterized as primary or secondary storage, and the like. For example, if the computer-readable medium is implanted as semiconductor-based memory, the software disclosed herein can be encoded on the computer-readable medium by transforming the physical state of the semiconductor memory. For example, software can transform the state of transistors, capacitors, or other circuit elements that make up semiconductor memory. The software can also transform the physical state of such components in order to store data in them.

[0058] As another example, the computer-readable medium disclosed herein may be implanted using magnetic or optical technology. In such deployments, the software disclosed herein can transform the physical state of magnetic or optical media when the software is encoded thereon. These transformations may include changing the magnetic characteristics of particular locations in a given magnetic medium. These transformations may also include altering the physical features or characteristics of particular locations on a given optical medium to change the optical characteristics of those locations. Other physical environment transformations are possible without departing from the scope and spirit of the present description, in which the previously mentioned examples only serve to facilitate this discussion.

[0059] In light of the foregoing, it should be understood that many types of physical transformations occur in the computer architecture 500 in order to store and run the software components disclosed herein. It should also be understood that computer architecture 500 can include other types of computing devices, including handheld computers, integrated computer systems, personal digital assistants, and other types of computing devices known to those skilled in the art. It should be appreciated that computer architecture 500 may not include all of the components shown in Figure 5, it may include other components that are not explicitly shown in Figure 5, or it may utilize a completely different architecture than that shown in Figure 5.

[0060] Figure 6 illustrates a distributed computing environment 500 that can execute the software components described herein to provide query suggestions. Thus, the distributed computing environment 600 illustrated in Figure 6 can be used to provide the functionality described herein in relation to the system 100. The distributed computing environment 600 can thus be used to run any aspect of the software components disclosed herein.

[0061] In accordance with various implementations, distributed computing environment 600 includes a computing environment 602 that operates on, in communication with, or as part of network 604. Network 604 may also include multiple access networks. One or more client devices 606A to 606N (hereinafter referred to collectively and/or generically as "clients 606") may communicate with computing environment 602 via network 604 and/or other connections (not illustrated in Figure 6). In the illustrated embodiment, clients 606 include a computing device 606A such as a laptop computer, desktop computer, or other computing device; a slate or tablet computing device ("tablet computing device") 606B; a mobile computing device 606C such as a mobile phone, smart phone or other mobile computing device; a server computer 606D; and/or other 606N devices. It is to be understood that any number of clients 606 can communicate with the computing environment 602. Two exemplary computing architectures for the clients 606 are illustrated and described herein with reference to Figures 5 and 7. It is to be understood that the illustrated clients 606 and illustrated computing architectures described herein are illustrative and are not to be construed as being limiting in any way.

[0062] In the illustrated embodiment, the computing environment 602 includes application servers 608, data storage 610 and one or more network interfaces 612. According to various implementations, the functionality of application servers 608 can be provided by one or more server computers that run as part of, or in communication with, network 604. Application servers 608 can host various services, virtual machines, portals, and/or other resources. In the illustrated embodiment, application servers 608 host one or more virtual machines 614 for hosting applications or other functionality. In accordance with various deployments, virtual machines 614 host one or more applications and/or software modules to provide the functionality described herein to provide query suggestions. It should be understood that this modality is illustrative and should not be interpreted as being limiting in any way. Application servers 608 also host or provide access to one or more web portals, link pages, websites and/or other information ("web portals") 616.

[0063] According to various implementations, the application servers 608 also include one or more mailbox services 618 and one or more messaging services 620. The mailbox services 618 may include electronic mail ("e-mail") services. Mailbox services 618 may also include various personal information management ("PIM") services which include, but are not limited to, calendaring services, contact management services, collaboration services and/or other services. Messaging services 620 may include, but are not limited to, instant messaging services, chat services, forum services, and/or other messaging services.

[0064] Application servers 608 may also include one or more social networking services 622. Social networking services 622 may include various social networking services, including, but not limited to, services for sharing or posting status updates, instant messages, links, photos, videos and/or other information; services to comment on or display interest in articles, products, blogs or other resources; and/or other services. In some embodiments, the social networking services 622 are provided by or include the FACEBOOK social networking service, the LINKEDIN professional social networking service, the MYSPACE social networking service, the FOURSQUARE geographic networking service, the YAMMER office and colleagues networking service, and the like. In other embodiments, social networking services 622 are provided by other services, sites, and/or providers that may or may not be known explicitly as social networking providers. For example, some websites allow users to interact with each other via email, chat services and/or other means during various activities and/or contexts such as reading published articles, commenting on goods or services, publishing, collaboration, games and the like. Examples of such services include, but are not limited to, the WINDOWS LIVE service and the XBOX LIVE service from MICROSOFT CORPORATION in Redmond, Washington. Other services are possible and contemplated.

[0065] Social networking services 622 may also include commenting services, blogs and/or microblogs. Examples of such services include, but are not limited to, the YELP comment service, the KUDZU review service, the OFFICETALK business microblogging service, the TWITTER messaging service, the GOOGLE BUZZ service, and/or other services. It should be understood that the above lists of services are not exhaustive and that various additional and/or alternative social networking services 622 are not mentioned herein for the sake of brevity. As such, the above embodiments are illustrative and are not to be construed as being limited in any way.

[0066] As shown in Figure 6, the application servers 608 may also host other services, applications, portals and/or other resources ("other resources") 624. The other resources 624 may include, but are not limited to, data sources 141, previous query information 142 and/or the query suggestion service layer 143. In this way, it can be understood that the computing environment 602 can provide an integration of the concepts and technologies disclosed in this document to provide query suggestions with various mailbox, messaging, social networking and/or other services or features. For example, the concepts and technologies disclosed in this document may utilize social networking or other information as a portion of non-query-based data 124 such that at least initial query suggestions 125 may be based on personal information used to correlate with prior query information 142. Additionally, while described by the phrase "query", it should be understood that other forms of searching are applicable such that query suggestions 125 may be incorporated as search terms for a search engine, data fields for school projects, and other forms query suggestion.

[0067] As mentioned above, the computing environment 602 may include the data store 610. According to various implementations, the functionality of the data store 610 is provided by one or more databases operating on, or in communication with, the network 604. The functionality of the data store 610 may also be provided by one or more server computers configured to host data for the computing environment 602. The data store 610 may include, host or provide a or more real or virtual data stores 626A to 626N (hereinafter referred to collectively and/or generically as "data stores 626"). Data stores 626 are configured to host data used or created by application servers 608 and/or other data.

[0068] The computing environment 602 can communicate with or be accessed by the network interfaces 612. The network interfaces 612 can include various types of network hardware and software to support communications between two or more communication devices including, but not limited to, clients 606 and application servers 608. It should be understood that network interfaces 612 can also be used to connect to other types of networks and/or computer systems.

[0069] It should be understood that the distributed computing environment 600 described herein may provide any aspects of the software elements described herein with any number of virtual computing resources and/or other distributed computing functionality that may be configured to run any aspects of the software components disclosed herein. In accordance with various implementations of the concepts and technologies disclosed herein, the distributed computing environment 600 provides the software functionality described herein as a service to clients 606. It should be understood that clients 606 may include real or virtual machines which include, but are not limited to, server computers, web servers, personal computers, mobile communication devices, smart phones, and/or other devices. As such, various embodiments of the concepts and technologies disclosed herein allow any device configured to access distributed computing environment 600 to utilize the functionality described herein to provide query suggestions.

[0070] Referring to Figure 7, an illustrative computing device architecture 700 for a computing device that can run various software components described herein to provide query suggestions. Computing device architecture 700 is applicable to communication devices that facilitate mobile computing due, in part, to form factor, wireless connectivity, and/or battery-powered operation. In some embodiments, communication devices include, but are not limited to, mobile phones, tablet-type devices, slate-type devices, handheld video game devices, and the like. Furthermore, computing device architecture 700 is applicable to any of the clients 706 shown in Figure 6. Additionally, aspects of computing device architecture 700 may be applicable to traditional desktop computers, portable computers (e.g., laptop computers, notebooks, ultraportables, and netbooks), server computers, and other computer systems, such as those described herein with reference to Figure 5. For example, the single-touch and multi-touch aspects disclosed herein below may be applied to desktop computers that use a touchscreen or some other touch-enabled device, such as a touch-enabled track pad or touch-enabled mouse.

[0071] The computing device architecture 700 illustrated in Figure 7 includes a processor 702, memory components 704, network connectivity components 706, sensor components 708, input/output components 710, and power components 712. In the illustrated embodiment, the processor 702 is in communication with the memory components 704, the network connectivity components 706, the sensor components 708, the input/output ("I/O") 710 and power components 712. Although no connections are shown between the individual components illustrated in Figure 7, the components can interact to perform device functions. In some embodiments, the components are arranged to communicate over one or more buses (not shown).

[0072] Processor 702 includes a central processing unit ("CPU") configured to process data, execute computer-executable instructions from one or more application programs, and communicate with other components of computing device architecture 700 to perform various functionality described herein. Processor 702 may be used to execute aspects of the software components disclosed herein, and particularly those that utilize, at least in part, touch-enabled input.

[0073] In some embodiments, processor 702 includes a graphics processing unit ("GPU") configured to accelerate operations performed by the CPU, including, but not limited to, operations performed by running general-purpose engineering and scientific computing applications, as well as graphics-intensive computing applications such as high-resolution video (e.g., 720P, 1080P and greater), video games, three-dimensional ("D") modeling applications, and the like. In some embodiments, processor 702 is configured to communicate with a discrete GPU (not shown). Either way, the CPU and GPU can be configured according to a co-processing CPU/GPU computing model, where the sequential part of an application runs on the CPU and the compute intensive part is accelerated by the GPU.

[0074] In some embodiments, the processor 702 is, or is included in, a system-on-a-chip ("SoC") along with one or more of the other components described herein below. For example, the SoC may include processor 702, a GPU, one or more of network connectivity components 706, and one or more of sensor components 708. In some embodiments, processor 702 is manufactured, in part, using a packet-in-packet ("PoP") integrated circuit packaging technique. Furthermore, processor 702 may be a single-core or multi-core processor.

[0075] The 702 processor can be created according to an ARM architecture, available for license from ARM HOLDINGS of Cambridge, UK. Alternatively, processor 702 can be designed in accordance with an x86 architecture, such as is available from INTEL CORPORATION of Mountain View, California and others. In some embodiments, the 702 processor is a SNAPDRAGON SoC, available from QUALCOMM of San Diego, California, a TEGRA SoC, available from NVIDIA of Santa Clara, California, a HUMMINGBIRD SoC, available from SAMSUNG of Seoul, South Korea, an Open Multimedia Application Platform ("OMAP") SoC, available from TEXAS INSTRUMENTS of Dallas, Texas, a customized version of any of the aforementioned SoCs, or an SoC patented.

[0076] Memory components 704 include random access memory ("RAM") 714, read-only memory ("ROM") 716, integrated storage memory ("integrated storage") 718, and removable storage memory ("removable storage") 720. In some embodiments, RAM 714 or a portion thereof, ROM 716 or a portion thereof, and/or some combination of RAM 714 and ROM 716 is integrated into processor 702. In some embodiments, ROM 716 is configured to store firmware, an operating system or a portion thereof (e.g., operating system kernel), and/or a boot loader for loading an operating system kernel from onboard storage 718 or removable storage 720.

[0077] Integrated storage 718 may include solid state memory, a hard disk, or a combination of solid state memory and a hard disk. Integrated storage 718 may be soldered or otherwise connected to a logic board to which processor 702 and other components described herein may also be connected. As such, onboard storage 718 is built into the computing device. Integrated storage 718 is configured to store an operating system or portions thereof, application programs, data, and other software components described herein.

[0078] Removable storage 720 may include solid state memory, a hard disk, or a combination of solid state memory and a hard disk. In some embodiments, removable storage 720 is provided in place of built-in storage 718. In other embodiments, removable storage 720 is provided as additional optional storage. In some embodiments, removable storage 720 is logically combined with built-in storage 718 such that the total available storage is made available and shown to a user as a total combined capacity of built-in storage 718 and removable storage 720.

[0079] Removable storage 720 is configured to be inserted into a removable storage memory slot (not shown) or other mechanism by which removable storage 720 is inserted and secured to facilitate a connection through which removable storage 720 can communicate with other components of the computing device, such as the processor 702. miniSD, microSD, universal integrated circuit ("UICC") card (eg, a subscriber identity module ("SIM") or universal SIM ("USIM"), a proprietary format, or similar.

[0080] It can be understood that one or more of the memory components 704 can store an operating system. In accordance with various embodiments, the operating system includes, but is not limited to, SYMBIAN OS from SYMBIAN LIMITED, WINDOWS MOBILE OS from MICROSOFT CORPORATION of Redmond, Washington, WINDOWS PHONE OS from MICROSOFT CORPORATION, WINDOWS Operating System from MICROSOFT CORPORATION, PALM WEBOS from Hewlett-Packard Company of Palo Alto, California, BLACKBERRY OS from Research In Motion Limited of Waterlo The, Onta River, Canada, Apple Inc. IOS. of Cupertino, California and ANDROID OS of Google Inc. from Mountain View, California. Other operating systems are covered.

[0081] The network connectivity components 706 include a wireless wide area network component ("WWAN component") 722, a wireless local area network component ("WLAN component") 724, and a wireless personal area network component ("WPAN component") 726. The network connectivity components 706 facilitate communication to and from a network 728 that may be a WWAN, a WLAN, or a WPAN. Although a single network 728 is illustrated, network connectivity components 706 can facilitate simultaneous communication with multiple networks. For example, network connectivity components 706 can facilitate simultaneous communications with multiple networks over one or more of a WWAN, a WLAN, or a WPAN.

[0082] The network 728 may be a WWAN, such as a mobile telecommunications network using one or more mobile telecommunications technologies to provide voice and/or data services to a computing device utilizing the computing device architecture 700 via the WWAN component 722. The mobile telecommunications technologies may include, but are not limited to, Global System for Mobile communications ("GSM"), Code Division Multiple Access ("CDMA") ONE, CDMA 2000, Universal Mobile Telecommunications System ("UMTS"), Long Term Evolution ("LTE") and Worldwide Downtime for Microwave Access ("WiMAX"). In addition, network 728 may utilize various channel access methods (which may or may not be used by the standards mentioned above) including, but not limited to, Time Division Multiple Access ("TDMA"), Frequency Division Multiple Access ("FDMA"), CDMA, high-bandwidth CDMA ("W-CDMA"), Orthogonal Frequency Division Multiplexing ("OFDM"), Space Division Multiple Access ("SDMA"), and the like. Data communications may be provided using General Packet Radio Service ("GPRS"), Enhanced Data Rates for Global Evolution ("EDGE"), the High Speed Packet Access ("HSPA") protocol family which includes High Speed Downlink Packet Access ("HSDPA"), Enhanced Uplink ("EUL") or otherwise called High Speed Uplink Packet Access ("HSUPA"), Evolved HSPA ("HSPA+"), LTE and many other current and future wireless data access standards. Network 728 can be configured to provide voice and/or data communications with any combination of the technologies described above. Network 728 can be configured for or adapted to provide voice and/or data communications in accordance with next generation technologies.

[0083] In some configurations, WWAN component 722 is configured to provide dual multimode connectivity to network 728. For example, WWAN component 722 can be configured to provide connectivity to network 728, where network 728 provides a service through GSM and UMTS technologies or through some other combination of technologies. Alternatively, multiple WWAN components 722 may be utilized to realize such functionality, and/or provide additional functionality to support other technologies that are not compatible (i.e., unable to be supported by a single WWAN component). The WWAN component 722 can facilitate similar connectivity to multiple networks (eg, a UMTS network and an LTE network).

[0084] The 728 network may be a WLAN that operates in accordance with one or more Electrical and Electronics Engineers ("IEEE") 802.11 standards, such as IEEE 802.11a, 802.11b, 802.11g, 802.11n and/or future 802.11 standard (referred to herein collectively as WI-FI). Draft 802.11 standards are also covered. In some embodiments, the WLAN is deployed using one or more wireless WI-FI access points. In some embodiments, one or more of the wireless WI-FI access points are other computing devices with connectivity to a WWAN that function as a WI-FI access point. WLAN component 724 is configured to connect to network 728 through Wi-Fi access points. Such connections may be secured using various encryption technologies including, but not limited to, WI-FI Protected Access ("WPA"), WPA2, Wired Equivalent Privacy ("WEP") and the like.

[0085] The 728 network may be a WPAN operating under Infrared Data Association ("IrDA"), BLUETOOTH, Wireless Universal Serial Bus ("USB"), Z-Wave, ZIGBEE, or some other short-range wireless technology. In some embodiments, WPAN component 726 is configured to facilitate communications with other devices, such as peripherals, computers or other devices communicating over WPAN.

[0086] Sensor components 708 include a 730 magnetometer, a 732 ambient light sensor, a 734 proximity sensor, a 736 accelerometer, a 738 gyroscope and a global positioning system sensor ("GPS sensor") 740. It is contemplated that other sensors, but without limitation, temperature sensors or shock detection sensors, also can be incorporated into the 700 computing device architecture.

[0087] The magnetometer 730 is configured to measure the strength and direction of a magnetic field. In some embodiments, the magnetometer 730 provides measurements to a compass application program stored within one of the memory components 704 to provide accurate bearings to a user in a frame of reference that includes cardinal, north, south, east, and west directions. Similar measurements are provided to a navigation application program that includes a compass component. Other uses of measurements obtained by the magnetometer 730 are contemplated.

[0088] The ambient light sensor 732 is configured to measure ambient light. In some embodiments, the ambient light sensor 732 provides measurements to an application program stored within one of the memory components 704 to automatically adjust the brightness of a display (described below) to compensate for low light and high light environments. Other uses of measurements obtained by ambient light sensor 732 are contemplated.

[0089] The proximity sensor 734 is configured to detect the presence of an object or thing near the computing device without direct contact. In some embodiments, the proximity sensor 734 detects the presence of a user's body (e.g., the user's face) and provides that information to an application program stored within one of the memory components 704 that uses the proximity information to enable or disable some functionality of the computing device. For example, a phone application program can automatically disable a touchscreen (described below) in response to receiving proximity information so that the user's face does not inadvertently end a call, or enable/disable other functionality within the phone application program during the call. Other uses of proximity as sensed by proximity sensor 734 are contemplated.

[0090] The accelerometer 736 is configured to measure an appropriate acceleration. In some embodiments, the output of accelerometer 736 is used by an application program as an input mechanism to control some functionality of the application program. For example, the application program may be a video game in which a character, a portion thereof, or an object is moved or otherwise manipulated in response to input received through accelerometer 736. In some embodiments, the output of accelerometer 736 is provided to an application program for use in switching between landscape and portrait modes, calculating coordinated acceleration, or detecting a fall. Other uses of the accelerometer 736 are contemplated.

[0091] The 738 gyroscope is configured to measure and maintain orientation. In some embodiments, the output of gyroscope 738 is used by an application program as an input mechanism to control some functionality of the application program. For example, the 738 gyroscope can be used for accurate motion recognition within the 3D environment of a video game application or some other application. In some embodiments, an application program utilizes output from gyroscope 738 and accelerometer 736 to enhance control of some functionality of the application program. Other uses of the 738 gyroscope are contemplated.

[0092] The 740 GPS sensor is configured to receive signals from GPS satellites for use in calculating a location. The location calculated by the GPS sensor 740 can be used by any application program that needs or benefits from location information. For example, the location calculated by the GPS sensor 740 can be used with a navigation application program to provide directions from the location to a destination or directions from the destination to the location. Furthermore, the GPS sensor 740 can be used to provide location information to an external location-based service, such as an E911 service. GPS sensor 740 may obtain location information generated through WI-FI, WIMAX, and/or cellular triangulation techniques that utilize one or more of the network connectivity components 706 to assist GPS sensor 740 in obtaining a location fix. The 740 GPS sensor can also be used in Assisted GPS ("A-GPS") systems.

[0093] The I/O components 710 include a display 742, a touch screen 744, a data I/O interface component ("Data I/O") 746, an audio I/O interface component ("Audio I/O") 748, a video I/O interface component ("Video I/O") 750, and a camera 752. In some embodiments, the display 742 and the touch screen touch 744 are combined. In some embodiments, two or more of the 746 data I/O component, the 748 audio I/O component, and the 750 video I/O component are combined. I/O components 710 may include discrete processors configured to support the various interfaces described below, or may include processing functionality built into processor 702.

[0094] The 742 display is an output device configured to present information in a visual form. In particular, display 742 can display graphical user interface ("GUI") elements, text, images, video, notifications, virtual buttons, virtual keyboards, messaging data, Internet content, device state, time, date, calendar data, preferences, map information, location information, and any other information that can be presented in a visual form. In some embodiments, display 742 is a liquid crystal display ("LCD") utilizing either active or passive matrix technology and any backlight technology (if used). In some embodiments, display 742 is an organic light-emitting diode ("OLED") display. Other display types are contemplated.

[0095] The 744 touch screen is an input device configured to detect the presence and location of a touch. The 744 touchscreen may be a resistive touchscreen, a capacitive touchscreen, a surface acoustic wave touchscreen, an infrared touchscreen, an optical imaging touchscreen, a signal dispersive touchscreen, an acoustic pulse recognition touchscreen, or it may utilize any other touchscreen technology. In some embodiments, the touch screen 744 is incorporated on top of the display 742 as a transparent layer to allow a user to use one or more touches to interact with objects or other information presented on the display 742. In other embodiments, the touch screen 744 is a touch embedded in a surface of the computing device that does not include the display 742. For example, the computing device can have a touch screen embedded on top of the display 742 and a touch on a surface opposite the display 742 2.

[0096] In some configurations, the 744 touchscreen is a single-touch touchscreen. In other configurations, the 744 touch screen is a multi-touch touch screen. In some configurations, the 744 touchscreen is configured to detect discrete touches, single-touch gestures, and/or multi-touch gestures. These are collectively referred to herein as gestures for convenience. Various gestures will now be described. It is to be understood that these gestures are illustrative and are not intended to limit the scope of the appended claims. Furthermore, the described gestures, additional gestures, and/or alternate gestures, can be implemented in software for use with the touch screen 744. As such, a developer can create gestures that are specific to a particular application program.

[0097] In some configurations, the touch screen 744 supports a touch gesture in which a user taps the touch screen 744 once on an item displayed on the display 742. The touch gesture can be used for a variety of reasons including, but not limited to, opening or starting what the user touches. In some embodiments, touchscreen 744 supports a double-tap gesture in which a user taps touchscreen 744 twice on an item displayed on display 742. The double-tap gesture can be used for a variety of reasons, including, but not limited to, staged zooming in or out. In some embodiments, the touch screen 744 supports a tap and hold gesture in which a user touches the touch screen 744 and maintains contact for at least a predefined time. The tap and hold gesture can be used for a variety of reasons, including but not limited to opening a specific context menu.

[0098] In some embodiments, the touchscreen 744 supports a panning gesture in which a user places a finger on the touchscreen 744 and maintains contact with the touchscreen 744 while moving the finger across the touchscreen 744. The panning gesture can be used for a variety of reasons, including, but not limited to, moving through screens, images, or menus at a controlled rate. Multi-finger panning gestures are also supported. In some embodiments, the touch screen 744 supports a flick gesture in which a user drags a finger in the direction the user wants the screen to move. The flick gesture can be used for a variety of reasons including, but not limited to, scrolling horizontally or vertically through menus or pages. In some embodiments, the touch screen 744 supports a pinch and zoom gesture in which a user pinches two fingers (eg, thumb and index finger) on the touch screen 744 or separates the two fingers. The pinch and zoom gesture can be used for a variety of reasons, including, but not limited to, zooming in or out on a website, map, or image.

[0099] Although the above gestures have been described with reference to the use of one or more fingers to perform the gestures, other appendages such as big toes or objects such as stylus pens may be used to interact with the 744 touchscreen.

[00100] Data I/O interface component 746 is configured to facilitate data input to the computing device and data output from the computing device. In some embodiments, data I/O interface component 746 includes a connector configured to provide wired connectivity between the computing device and a computer system, for example, for purposes of synchronization operation. The connector may be a proprietary connector or a standard connector such as USB, micro-USB, mini-USB or the like. In some embodiments, the connector is a dock connector for docking the computing device with another device such as a docking station, an audio device (e.g., a digital music player) or a video device.

[00101] Audio I/O interface component 748 is configured to provide audio input and/or output capabilities to the computing device. In some embodiments, audio I/O interface component 746 includes a microphone configured to collect audio signals. In some embodiments, audio I/O interface component 746 includes a headphone jack configured to provide connectivity to headphones or other external speakers. In some embodiments, audio interface component 748 includes a speaker for outputting audio signals. In some embodiments, audio I/O interface component 746 includes an optical audio cable output.

[00102] Video I/O Interface Component 750 is configured to provide video input and/or output capabilities to the computing device. In some embodiments, the video I/O interface component 750 includes a video connector configured to receive video as input from another device (e.g., a video media player such as a DVD or BLURAY player) or send video as output to another device (e.g., a monitor, television, or some other external display). In some embodiments, the 750 video I/O interface component includes a High Definition Multimedia Interface ("HDMI"), mini-HDMI, micro-HDMI, DisplayPort, or a proprietary connector for input/output of video content. In some embodiments, the video I/O interface component 750 or portions thereof are combined with the audio I/O interface component 748 or portions thereof.

[00103] The 752 camera can be configured to capture still images and/or video. The 752 camera can use either a charge-coupled device ("CCD") or a complementary metal-oxide semiconductor ("CMOS") image sensor to capture images. In some embodiments, the 752 camera includes a flash to aid in taking pictures in low light environments. Settings for the 752 camera can be implemented as hardware or software buttons.

[00104] Although not illustrated, one or more hardware buttons may also be included in computing device architecture 700. Hardware buttons may be used to control some operational aspects of the computing device. Hardware buttons can be dedicated buttons or multipurpose buttons. Hardware buttons can be mechanical or sensor-based.

[00105] The illustrated power components 712 include one or more batteries 754 that can be connected to a battery meter 756. Batteries 754 can be rechargeable or disposable. Rechargeable battery types include, but are not limited to, lithium polymer, lithium ion, nickel cadmium, and nickel metal hydride. Each of the 754 batteries can be produced from one or more cells.

[00106] The 756 battery meter can be configured to measure battery parameters such as current, voltage and temperature. In some embodiments, battery meter 756 is configured to measure the effect of discharge rate, temperature, age of a battery and other factors to predict remaining life within a certain percentage error. In some embodiments, battery meter 756 provides measurements to an application program that is configured to use the measurements to present useful power management data to a user. Power management data may include one or more of a percentage of battery used, a percentage of battery remaining, a battery condition, time remaining, capacity remaining (for example, in watt-hours), current drawn, and voltage.

[00107] Power components 712 may also include a power connector that may be combined with one or more of the aforementioned I/O components 710. Power components 712 may interface with an external power system or charging equipment via a power I/O component 744.

[00108] Based on the foregoing, it should be understood that technologies for providing query suggestions and for compiling queries based on query suggestions have been disclosed in the present document. Although the subject matter presented in this document has been described in language specific to structural computer resources, methodological and transformative actions, specific computing machinery and computer-readable media, it should be understood that the invention defined in the appended claims is not necessarily limited to the specific resources, actions or means described in this document. Instead, specific resources, actions and means are revealed as exemplifying forms of implementing claims.

[00109] The technologies disclosed in this document can be described as defined in the following clauses:

[00110] Clause 1. A computer-implemented method to provide query suggestions, which is characterized by the fact that it comprises:

[00111] detect access to a data source;

[00112] collect non-query-based data based on detected access;

[00113] Determine an initial query suggestion for a query for the data source based on the non-query-based data; It is

[00114] Return the initial query suggestion.

[00115] Clause 2. The computer-implemented method according to clause 1, wherein the non-query-based data comprises metadata describing identity data, profiling data or contextualized information.

[00116] Clause 3. The computer-implemented method according to any of clauses 1 and 2, in which determining the initial consultation suggestion comprises:

[00117] compare metadata to previous query information or metadata;

[00118] determining that at least a portion of the metadata is associated with a portion of the previous query information; It is

[00119] Generate the initial query suggestion based on the portion of the previous query information.

[00120] Clause 4. The computer-implemented method according to any one of clauses 1 to 3, wherein the above query information comprises at least one of standard query statements, basic query statements or previously submitted queries.

[00121] Clause 5. The computer-implemented method according to any of clauses 1 and 4, in which determining the initial consultation suggestion comprises:

[00122] Compare non-query-based data to a set of standard query statements;

[00123] determining that at least a portion of the non-query-based data is associated with at least one standard query statement from the set of standard query statements; It is

[00124] Generate the initial query suggestion based on at least one default query statement.

[00125] Clause 6. The computer-implemented method according to any one of clauses 1 to 5, in which detecting access to a data source comprises:

[00126] receive a request to access data in the data source;

[00127] receive a request to receive the initial query suggestion; or

[00128] Determine that a file has been opened.

[00129] Clause 7. The computer-implemented method according to any one of clauses 1 to 6, which also comprises returning initial query suggestions through a user interface (UI) element.

[00130] Clause 8. The computer-implemented method according to any one of clauses 1 to 7, wherein the UI element is a selectable graphical rendering representative of the content of the initial query suggestion or wherein the UI element comprises an auto-populated text portion that represents at least a text portion of a query statement.

[00131] Clause 9. The computer-implemented method according to any one of clauses 1 to 8, which also comprises:

[00132] receive an indication of action on the initial consultation suggestion;

[00133] Determine an additional query suggestion for the query for query-based data source or non-query-based data; It is

[00134] Return additional query suggestion.

[00135] Clause 10. The computer-implemented method according to any one of clauses 1 to 9, wherein the query comprises data indicative of at least a portion of a query statement.

[00136] Clause 11. Data processing system configured to provide query suggestions, and the system is characterized by the fact that it comprises:

[00137] At least one computer running a query suggestion service layer configured to

[00138] detect access to a client's data source,

[00139] collect non-query-based data,

[00140] receive a query for the customer data source,

[00141] determine a query suggestion for the query based on the non-query-based data and the query, and

[00142] return the query suggestion to the client.

[00143] Clause 12. The data processing system according to clause 11, where the non-query-based data comprises metadata describing identity data, profiling data or contextualized information.

[00144] Clause 13. The data processing system in accordance with any of clauses 11 and 12, in which determining the query suggestion comprises:

[00145] compare metadata and query to previous query or metadata information;

[00146] determining that at least a portion of the metadata or the query is associated with a portion of the previous query information; It is

[00147] Generate query suggestion based on portion of previous query information.

[00148] Clause 14. The data processing system according to any one of clauses 11 to 13, wherein the previous query information comprises at least one of standard query statements, basic query statements or previously submitted queries.

[00149] Clause 15. The data processing system according to any of clauses 11 to 14, in which detecting access to a data source comprises:

[00150] receive a request to access data in the data source;

[00151] receive a request to receive the initial query suggestion; or

[00152] Determine that a file has been opened on the client.

[00153] Clause 16. The data processing system according to any of clauses 11 to 15, in which the query suggestion service layer is also configured to:

[00154] determine that the query includes a change in response to provide the query suggestion;

[00155] apply the change to the query;

[00156] Determine an additional query suggestion for the query for the data source based on the applied change; It is

[00157] return the additional query suggestion to the client.

[00158] Clause 17. The data processing system according to any one of clauses 11 to 16, wherein the additional query suggestion comprises a suggestion to filter or organize query results based on previous query information.

[00159] Clause 18. A computer-implemented method for compiling query data through query suggestions, the method comprising:

[00160] detect access to a data source;

[00161] determine query suggestions for a search query in the data source based on non-query-based data and query data, where the query suggestions are selectable query suggestions for appending to the search query and where the query data is based on the selection of the query suggestions; It is

[00162] Make query suggestions displayed through a graphical user interface (UI) configured to receive individual query suggestion selections from query suggestions.

[00163] Clause 19. The computer-implemented method pursuant to clause 18, wherein the non-query-based data comprises metadata describing identity data, profiling data, or contextualized information to a client computer accessing the data source.

[00164] Clause 20. The computer-implemented method in accordance with any of clauses 18 and 19, in which determining consultation suggestions comprises:

[00165] compare query data to previous query information;

[00166] determining that at least a portion of the query data is associated with a portion of the previous query information; It is

[00167] Generate query suggestions based on portion of previous query information.

[00168] The matter described above is provided by way of illustration only and should not be construed as a limitation. Various modifications and alterations can be made to the matter described in the present document without following the exemplary modalities and applications illustrated and described, and without deviating from the true spirit and scope of the present invention, which is presented in the claims below.

Claims (6)

1. A computer-implemented method for providing a query suggestion, the method comprising the steps of: detecting access to a data source; collect non-query-based data based on detected access; determining an initial query suggestion for a data source query based on the non-query-based data, wherein the non-query-based data comprises metadata describing identity data, profiling data, or contextual information; and characterized in that determining the initial query suggestion comprises: comparing the metadata with a previous query or metadata information; determining that at least a portion of the metadata is associated with a portion of the prior query information; and generating the initial query suggestion based, at least in part, on the portion of the prior query information; return the initial query suggestion; receive an indication of action on the initial consultation suggestion; determine an additional query suggestion for the query by the data source based on a query or non-query-based data; and return the additional query suggestion. 2. Computer-implemented method according to claim 1, characterized in that the previous query information comprises at least one of standard query statements, basic query statements or previously sent queries. 3. The computer-implemented method of claim 1, characterized in that determining the initial query suggestion further comprises: comparing the non-query-based data with a set of standard query statements; determining that at least a portion of the non-query-based data is associated with at least one standard query statement from the set of standard query statements; and generating the initial query suggestion based, at least in part, on at least one standard query statement. 4. Computer-implemented method according to claim 1, characterized in that detecting access at the data source comprises: receiving a request to access data at the data source; receive a request to receive the initial consultation suggestion; or determine that a file has been opened. 5. Computer-implemented method according to claim 1, characterized in that the return of initial query suggestions comprises returning the initial query suggestion through a user interface (UI) element. 6. A system configured to provide query suggestions, the system comprising: at least one computer running a query suggestion service layer configured to detect access to a customer's data source, collect non-query-based data, receive a query for the customer's data source, determine an initial query suggestion for the query based on non-query-based data and the query, and characterized in that the non-query-based data comprises metadata describing identity data, profile data, or contextual information, and wherein determining the query suggestion comprises: comparing the metadata with a previous query or metadata information; determining that at least a portion of the metadata is associated with a portion of the prior query information; and generating the initial query suggestion based, at least in part, on the portion of the prior query information; return the initial query suggestion; receive an indication of action on the initial consultation suggestion; determine an additional query suggestion for the query by the data source based on a query or non-query-based data; and return the additional query suggestion.