US20040059729A1 - Method and system for creating improved search queries - Google Patents

Method and system for creating improved search queries Download PDF

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Publication number
US20040059729A1
US20040059729A1 US10/672,340 US67234003A US2004059729A1 US 20040059729 A1 US20040059729 A1 US 20040059729A1 US 67234003 A US67234003 A US 67234003A US 2004059729 A1 US2004059729 A1 US 2004059729A1
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search
word
displaying
user
builder
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US10/672,340
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Paul Krupin
Donald Short
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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
    • G06F16/332—Query formulation
    • G06F16/3322—Query formulation using system suggestions
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99932—Access augmentation or optimizing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching
    • Y10S707/99934—Query formulation, input preparation, or translation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99931—Database or file accessing
    • Y10S707/99933—Query processing, i.e. searching
    • Y10S707/99935—Query augmenting and refining, e.g. inexact access

Definitions

  • the present invention relates in general to Internet and intranet web page service providers and, in particular, to systems and methods for creating search word queries for use with online search engines and searchable content rich databases.
  • the invention is a method and system for creating improved search queries using pre-arranged controlled vocabularies, carefully selected topics, carefully selected word groups, and carefully selected word types.
  • the invention is called a search builder.
  • the search builder is a server-based program, which houses numerous individual topic oriented search builder modules. Each module is focused on a special topic of interest. Each module helps people select the exact terms to be used in a search query.
  • the search query is then transmitted to a search engine or searchable database.
  • a typical search query input by a user is processed by an online search engine, which then access an indexed database of web pages which are sent back to the user in the form of a list of ranked web pages that respond to the users query words, based on some algorithm used by the search engine to rank and order results.
  • the quality of the search results is dependent upon the words that are entered into the search engine.
  • search engines do not provide help or guidance in selecting the specific words to be used in the selection of the words used in a query. They typically present a graphical interface advanced search form with empty text boxes and written guidance in text on using the advanced search options, which describes the use of Boolean logic and technical syntax.
  • search query options there are generally two types of search query options: simple search and advanced search.
  • simple search the user is presented a single search box consisting of a data entry form known as a text box in which one or more words may be entered.
  • the search may also be conducted in any language or in a specified language, of in any file format, or on a specific file format, or within some specified time frame.
  • the advanced search options at most of the search engines all focus on what is done with the words that are entered, rather than on what words are selected in the first place.
  • a slightly different prior art approach focuses on analyzing the content of web pages and results that result from a search query from multiple search engines. Available search tools still do not help users select the words to use in queries but rather take whatever words are used and use metasearch tools to organize and cluster results from one or more search engines or searchable databases. (examples, Vivisimo, Copenic, Bullseye by Intelliseek).
  • Music stores songs have attributes such as artist, title, length, genre, date . . .
  • Recipes cuisine, main ingredients, cooking style, holiday . . .
  • Mr. Lou Rosenfeld has also surveyed search engine tools and technology, recently observed that integration of algorithms to search to summarize and organize retrieved results, with a manual approach to query building is the future. But he observes that the problems in designing controlled vocabularies to meet users needs and satisfy user expectations is a huge issue because of the diverse needs of the users of the Internet. Rosenfeld has observed that data is factual in nature while web contact is language. Unlike data in product databases, web content is textual, and the language of web sites is ambiguous. He has also observed that there are too many individual topics out there, and that it is exceedingly difficult to create controlled vocabularies and useful thesauri to cover all users' needs. He has surveyed the field and concludes that the chances of finding a silver bullet solution are slim. The prior art does not include any web sites using a search builder method of pre-arranged controlled vocabularies at all.
  • the system generally operates in a distributed computing environment comprising individual computer systems interconnected over a network such as the internet, although the system could function equally well on a stand alone computer system.
  • one or more servers are interconnected with a plurality of clients over an internetwork, and with a plurality of personal computers, over an intranetwork.
  • the server systems include a memory (not shown), which is loaded into a server suite.
  • the server suite provides the controls and functionality for an Internet service provider. For example, the server suite publishes web pages, thereby making each web page available to clients and PC's over the internetwork and intranetwork, respectively.
  • the server suite further comprises a search builder program, web page, and user interface as further described hereinbelow.
  • the search builder program is coupled to a custom administrative program and database into which is compiled the information needed to operate the program.
  • the form of the data structures used in these lists are further described hereinbelow.
  • the search builder topics, word groups, word types, and search query word lists are entered individually as ordered lists.
  • the server is also interconnected to secondary storage which can comprise any form of conventional random or non-random access storage device, such as a hard rive, CD ROM or tape system with fixed or removable media, as is known in the art.
  • secondary storage can comprise any form of conventional random or non-random access storage device, such as a hard rive, CD ROM or tape system with fixed or removable media, as is known in the art.
  • Each web page is accessed by end users via web browsers operating on clients' personal computers over the internetwork or on personal computers on an intranetwork.
  • Each client and PC includes user interface devices, such as keyboards and monitors (not shown) as is known in the art, by which mouse clicks, types text and commands, search queries and other communications are input and search page results are output.
  • An exemplary example of a server system suitable for use with the present invention is an Intel Pentium based computer system having the following characteristics: 64 MB RAM, 1.0 GB hard drive, and network server connectivity.
  • the server system is a proprietary server system suite written for and used exclusively by One World Telecommunications, Kennewick, Wash., which provides similar functionality to the Microsoft Windows NT Server Suite.
  • the proprietary server system suite supports a simple page creation programming language that requires no knowledge of HTML programming or FTP uploads.
  • FIG. 1 is a block diagram of the system for organizing word groups and controlled vocabularies for use as a system for the creation of improved search queries based on the description of the present invention.
  • FIG. 2 is a screen shot of web pages showing an organized list of search topics and search builders.
  • FIGS. 3 a and 3 b are screen shots of membership and password web pages.
  • FIG. 4 is a screen shot of a typical search builder showing word groups and first word group controlled vocabulary selection and text box.
  • FIG. 5 is a screen shot showing the search engine listing page.
  • FIG. 6 is a screen shot showing the Word analysis section of the search engine listing page.
  • FIG. 7 is a screen shot showing the retrieved information from a search string query submitted to one of the search engines identified in the search engine listing page described in FIG. 5.
  • FIG. 8 is a screen shot showing the save search feature of the search engine.
  • a system according to this invention generally operates in a distributed computing environment comprising individual computer systems interconnected over a network such as the Internet, although the system could equally function on a stand alone computer system.
  • one or more servers are interconnected with a plurality of clients over an internetwork, and with a plurality of personal computers, over an intranetwork.
  • the server systems include a memory (not shown), which is loaded into a server suite.
  • the server suite provides the controls and functionality for an Internet service provider. For example, the server suite publishes web pages, thereby making each web page available to clients and PC's over the internetwork and intranetwork, respectively.
  • the server suite further comprises a search builder web page and user interface as further described hereinbelow, beginning with the reference to FIG. 2.
  • the search builder program is coupled to a custom administrative program and database into which contains the information needed to operate the program.
  • the form of the data structures used in these lists are further described hereinbelow.
  • the search builder topics, word groups, word types, and search query word lists are entered individually as ordered lists.
  • the server is also interconnected to secondary storage which can comprise any form of conventional random or non-random access storage device, such as a hard rive, CD ROM or tape system with fixed or removable media, as is known in the art.
  • Each web page is accessed by end users via web browsers operating on clients' personal computers over the internetwork or on personal computers on an intranetwork.
  • Each client and PC includes user interface devices, such as keyboards and monitors (not shown) as is known in the art, by which mouse clicks, types text and commands, search queries and other communications are input and search page results are output.
  • An example of a server system suitable for use with the present invention is an Intel Pentium based computer system having the following characteristics: 64 MB RAM, 1.0 GB hard drive, and network server connectivity.
  • the server system is a proprietary server system suite written for and used exclusively by One World telecommunications, Kennewick, Wash., which provides similar functionality to the Microsoft Windows NT Server Suite.
  • the proprietary server system suite supports a simple page creation programming language that requires no knowledge of HTML programming or FTP uploads.
  • the search builder of the present invention includes a method and system for creating improved search queries using pre-arranged controlled vocabularies, word groups, and word types.
  • the search builder is a server-based program, which houses numerous individual topic oriented search builder modules. Each module is focused on a special topic of interest.
  • FIG. 2 shows a list of topics as displayed by the server-based program when accessed by a user.
  • Each search builder module leads users through a series of word groups, where a user may select words to be added to a query, which will ultimately be sent to a search engine or searchable database.
  • the goal of the sequence of steps is to create an intelligent query that contains a sequence of one or more words, which is called a search string.
  • a simple search query contains one or more words.
  • a “search string” is a series of words a user enters into a search engine. There is a first word, then a second word, then a third word, and so on. A user can put in any number of words, hopefully to match the information they are looking for.
  • the search string then contains the words that a user will use to direct the search engine to find the web sites that contain relevant information.
  • the user may choose from a list of pre-selected words, and/or may enter additional words of their own choice.
  • the search string is created by selecting search words from search word groups, then adding additional search words from additional search word groups.
  • the words in each word group have been carefully selected to improve the identification of relevant search results based on a defined understanding of human psychology and a carefully rationalized search and browse approach to scientific problem solving using the Internet and searchable databases.
  • search engine looks through its database of indexed web pages for the web sites that contain the words listed. Generally, the more words that are used in the search query, the fewer pages will be found. Whenever the search engine finds a web page with the query word on the page, it saves the url or web page address and brings it back with a list of all the pages found with the search word, sorted according to the web sites criteria for relevance. A complex search with many words (e.g., 8 to 10 words) will retrieve fewer pages than a simple search (e.g., 2 to 3 words), because there are fewer web pages that have all the words in the search query.
  • a simple search e.g., 2 to 3 words
  • search string word group contains the key word as well as synonyms and related words that were similar in meaning that the user might be interested in.
  • a student might be interested in finding scholarships on the Internet.
  • the student would perform a search using the word “scholarships” in a search string.
  • the student would also be interested in other similar types of financial aid.
  • a short list of these other opportunities includes: Fellowships, Internships, Assistantships, Grants, Loans, Research assistantships, Teaching assistantships, Exchange programs, and so on. These words are all logically grouped into a search string word group applicant called “Money Words”.
  • Applicant has recognized that there are many other search string word groups that could be used to research other intellectual avenues and areas of knowledge. Some of these words focus on “Knowledge” and include word groups and specific vocabularies that help people search for and identify web sites that improve your knowledge or skill through education or experience, which are termed “Learning words”. Some of the “Learning Words” in the controlled vocabulary of this invention include Articles, Encyclopedia, Manual, Guide, Tips, Tactics, Strategy, and tutorial.
  • the search engine retrieves web pages that contain the “Learning Word”, greatly improving the quality and educational content of the search results. Hence, when a user uses “Learning Words”, significant improvements in searching education related queries can be achieved.
  • Internet words can be used to identify specific technologies or information delivery mechanisms associated specifically with the Internet.
  • Internet Words developed since the Internet was created and became a uniquely commercialized advertising and marketing electronic telecommunications medium.
  • search string word groups that are useful to searching for people and organizations, for example: Association Word Group, Industry Word Group, and Government Word Group.
  • To search for jobs information a user would select search words from the Job, career & Employment Word Group.
  • To focus a search by education, grade level or age a user would select words from those word groups.
  • To search by location a user would select from a Location Word Group listing various locations (e.g., cites, and states, regional, or countries).
  • To search by date a user would select words from a Date Word Group containing specific dates (e.g., month and year).
  • To search for specific sources of information the user would select words from a Source Word Group identifying the type of information source (e.g., government, companies, organizations, or educational institutions).
  • search string word groups that can be used to identify and pursue particular needs.
  • search string word groups have been organized and color-coded into a pre-defined set of higher level “word types” to aid in learning and search skill development.
  • word types there are seven categories of word types:
  • word types are repeated as appropriate for consistency in each search builder module.
  • the word types, word groups and the controlled vocabulary word choices in each word group vary with the topic of the search builder, and concomitantly with the appropriate and relevant terms, language and terminology used in the particular field of knowledge or expertise.
  • a user creates a search string query
  • the user selects a query word from one controlled vocabulary for one word group, and then adds another word from another word group and so on.
  • the word selection is varied to meet the user's particular needs or question.
  • the user adds words in sequence, and creates a search string one word at a time, with a specific purpose, so that the search engine brings back results that are relevant and germane to the user's needs or interest.
  • the search builder allows a user to select from a word group that instructs the search engine to ignore results that contain selected domains or words.
  • One such feature in the present invention is called “The Minus Dot Com Trick”, in that when this word choice is selected by a user, the system inserts the search word “—.com” into the search string query.
  • the search engine When processed by a search engine, the search engine will reject web pages that contain the word “.com”. This greatly reduces the number of web sites returned, in that the dot com's, that is the web sites that typically sell products and services, are not included in the search results. This will greatly improve the trustworthiness and veracity of the information retrieved in a search, in that the results tend to then focus on web pages from non-commercial entities.
  • Another domain word group selection further allows a user to focus alternatively on a specifically selected domain (such as the .org's, .edu's, .gov's, or .mil's). This feature greatly speeds and focuses the search onto web pages from the user specified domains.
  • the search builder saves each additional word until the user is ready to send the search string to a search engine as in this example.
  • Search Builder Scholarships Mini Word Group Search Word Selected Word Type Money Word Group: Grants Subject Word Group: Theatre Subject Learning Word Group: Application Knowledge Internet Word Group: Online Knowledge Excluded Domain Group: Minus Dot Corn Domain Included Domain Group: Organization Domains Only Domain Six Word Search String Query: Grants Theatre Online Application -.com .org
  • the search builder also allows the user to receive numeric color coded feedback on the nature of the word choices selected, based on an algorithm that is programmed individually into each search builder module, to maximize the relevance of results returned when the user initiates a search. This helps the user select an optimized number of words from an optimized number of word groups.
  • the algorithm varies with the topical search builder.
  • Each search builder module may be selectively programmed with either carefully selected commercial search engines or with carefully selected “invisible web resources”, specialized searchable databases, with the syntax for each search engine programmed in a manner that is not plainly visible or ascertainable to the common user.
  • the system strips out meaningless stop words automatically.
  • the system converts simple language into advanced search queries automatically.
  • the search builder allows users to clear all search strings in progress and start again.
  • the search builder also allows password enabled users to save numerous searches. This system allows the user to use a search builder to create a search string, save the search builder configuration created, and return at a later time, and retrieve the search builder parameters exactly, and continue on to do more search string building.
  • Search builders are developed with appropriate word groups and controlled vocabularies by the system owners on topics of wide and common interest, as well as on narrower topics of interest to technical vertical markets or user groups.
  • Each search builder allows users to create search queries to canvas a segment of the subjects and topics, actions or processes, skills or capabilities, or other aspects of importance to users interested in that topic.
  • Each search builder topic, each word group in each search builder topic module and each associated controlled vocabulary is identified and created with a particular user group in mind.
  • Each word group and controlled vocabulary content is selected to provide problem solving or education, or skill improvement information, or to allow people to perform searches to identify opportunities, or key contact information.
  • the present invention then provides a method and system for creation of the of improved search queries.
  • the search builder modules offer users assistance in the selection of words and represent a new alternative to the blank text box.
  • the invention assists users in defining what they want. Carefully selected search builder topics, pre-arranged vocabularies, word groups, and word types help user select good words to answer certain problems or address certain needs.
  • the user is focused on the controlled vocabularies. These are the source for the terms used in search queries.
  • the system converts simple language into advanced search queries, and thereby derives improved responses from the search engines.
  • the system strips out meaningless stop words, and saves the users time needed to address search engine nuances.
  • the use of the present invention will contribute to users deriving better results from using search engines. Users will retrieve information that can educate them and thereby enhance their knowledge, skills, and abilities faster and easier.
  • FIG. 1 is a graphical representation of the overall organization of the search builder for use in developing search queries for health-related searches.
  • FIG. 2 is a screen shot of web pages showing an organized list of search topics and search builder. The user clicks on the name of a search builder topic to initiate search string creation using that particular search builder module.
  • FIGS. 3 a and 3 b are screen shots of membership and password web page. If the user is a member, the user enters his or her user name and password to get access to the password protected portions of the invention.
  • FIG. 4 is a screen shot of a typical search builder showing the word group choice for the particular search builder module and first word group controlled vocabulary selection and text box.
  • the user will click on a word in the controlled vocabulary list to select it or enter a word of their own choice that better describes what they are searching for.
  • the selected search word appears in the “Current Selection” text box.
  • the user may click on the “Clear” button to remove any search words that are in the “Current Selection” text box.
  • the user may return to this word group and controlled vocabulary by clicking on the title of the word group.
  • the user may also go to any word group by clicking on the title of that word group.
  • Each word group operates in accordance with the process described herein with reference FIG. 4.
  • a user continues to select word groups, and then selects or enters search words and then clicks on the “accept” button.
  • the search builder adds the selected word to the search string query, and saves it for submittal to a search engine.
  • the search string query is displayed on the search builder page immediately after the user clicks on the “Accept” button.
  • the word is color-coded to identify the word type.
  • FIG. 5 is a screen shot showing the search engine listing page. The user clicks on the name of a search engine to initiate the search request on the search engine selected.
  • the search builder transmits the search string query to the search engine selected with appropriate syntax to return results with heightened relevance.
  • the Search results responsive to the search engine requests opens up in a new window.
  • FIG. 6 is a screen shot of the search results retrieved from a search directed to one of the search engines illustrated in FIG. 5. The user then browses the results to find the information they were searching for.
  • the user may click on the “Save Search” button if they wish to save the entire search builder configuration for a later time.
  • the user may click on either the “Search” button in the top toolbar or the “Topics” buttons in the word group selections to return to the “Search Builder Topic” page, where they can choose a different search builder.
  • FIG. 8 is a screen shot showing the Last Saved search and Save search archive on the Search Builder Topics Page. This display is only visible to password carrying members upon proper log in and authentication. The password carry member may log in, and may return click on the “Load Last Saved Search” or click on one of the prior saved searches on the Search Builder Topics page.
  • search builder modules may be exported onto other web sites for purposes of providing the special improved search query capabilities to a private intranet, not available to the plurality of users who can access the Internet.
  • various commands beyond a key board or a mouse may be utilized by a user to transmit the commands needed to utilize the search builder modules, or to make search word group and search word selections. For example, a voice command may be used instead of a mouse click.
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