CA2534053A1 - Methods and systems for understanding a meaning of a knowledge item using information associated with the knowledge item - Google Patents

Methods and systems for understanding a meaning of a knowledge item using information associated with the knowledge item Download PDF

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Publication number
CA2534053A1
CA2534053A1 CA002534053A CA2534053A CA2534053A1 CA 2534053 A1 CA2534053 A1 CA 2534053A1 CA 002534053 A CA002534053 A CA 002534053A CA 2534053 A CA2534053 A CA 2534053A CA 2534053 A1 CA2534053 A1 CA 2534053A1
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Prior art keywords
knowledge item
meaning
concept
concepts
knowledge
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CA002534053A
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French (fr)
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CA2534053C (en
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Gilad Israel Elbaz
Adam J. Weissman
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Google LLC
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • 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
    • G06F16/31—Indexing; Data structures therefor; Storage structures
    • G06F16/313—Selection or weighting of terms for indexing
    • 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
    • G06F16/3331—Query processing
    • G06F16/3332—Query translation
    • G06F16/3338—Query expansion
    • 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
    • G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques

Abstract

Systems and methods that determine a meaning of a knowledge item using relat ed information are described. In one aspect, a knowledge item is received, related information associated with the knowledge item is received, at least one related meaning based on the related information is determined, and a knowledge item meaning for the knowledge item based at least in part on the related meaning is determined. Several algorithms and types of related information useful in carrying out such systems and methods are described.</ SDOAB>

Claims (26)

1. A method, comprising:
receiving a knowledge item;
receiving related information associated with the knowledge item;
determining at least one related meaning based on the related information; and determining a knowledge item meaning for the knowledge item based at least in part on the related meaning.
2. The method of claim 1, wherein the knowledge item is a keyword.
3. The method of claim 1, wherein the related information comprises related articles.
4. The method of claim 3, wherein the articles comprise an advertisement from an advertiser who has bid on the knowledge item.
5. The method of claim 4, wherein the articles further comprise a web page associated with the advertisement.
6. The method of claim 5, wherein the related information further comprises related data.
7. The method of claim 6, wherein the related data comprises cost per click data associated with the advertisement.
8. The method of claim 1, wherein receiving the knowledge item further comprises processing the knowledge item to determine any known associated concepts.
9. The method of claim 1, wherein the knowledge item comprises a plurality of associated concepts and determining the knowledge item meaning comprises determining which of the associated concepts represents the knowledge item meaning.
10. The method of claim 1, wherein the knowledge item comprises a plurality of concepts and the related meaning comprises a plurality of concepts and determining the knowledge item meaning comprises:
establishing a probability for each knowledge item concept that the knowledge item should be resolved to the knowledge item concept;
determining a strength of relationship between each knowledge item concept and each r elated meaning concept; and adjusting the probability for each knowledge item concept based on the strengths.
11. The method of claim 1, wherein the knowledge item meaning comprises a weighted vector of concepts.
12. The method of claim 1, wherein the knowledge item meaning comprises related clusters of words.
13. The method of claim 1, wherein the knowledge item comprises a plurality of concepts, a plurality of related meanings are determined, each related meaning comprising a plurality of concepts, and determining the knowledge item meaning comprises:
establishing a probability for each knowledge item concept that the knowledge item should be resolved in part to the knowledge item concept; and establishing a probability for each related meaning concept that the knowledge item should be resolved in part to the related meaning concept.
14. A computer-readable medium containing program code, comprising:
program code for receiving a knowledge item;
program code for receiving related information associated with the knowledge item;
program code for determining at least one related meaning based on the related information; and program code for determining a knowledge item meaning for the knowledge item based at least in part on the related meaning.
15. The computer-readable medium of claim 14, wherein the knowledge item is a keyword.
16. The computer-readable medium of claim 14, wherein the related information comprises related articles.
17. The computer-readable medium of claim 16, wherein the articles comprise an advertisement from an advertiser who has bid on the knowledge item.
18. The computer-readable medium of claim 17, wherein the articles further comprise a web page associated with the advertisement.
19. The computer-readable medium of claim 18, wherein the related information further comprises related data.
20. The computer-readable medium of claim 19, wherein the related data comprises cost per click data associated with the advertisement.
21. The computer-readable medium of claim 14, wherein program code for receiving the knowledge item further comprises program code for processing the knowledge item to determine any known associated concepts.
22 22. The computer-readable medium of claim 14, wherein the knowledge item comprises a plurality of associated concepts and program code for determining the knowledge item meaning comprises program code for determining which of the associated concepts represents the knowledge item meaning.
23. The computer-readable medium of claim 14, wherein the knowledge item comprises a plurality of concepts and the related meaning comprises a plurality of concepts and determining the knowledge item meaning comprises:
program code for establishing a probability for each knowledge item concept that the knowledge item should be resolved to the knowledge item concept;
program code for determining a strength of relationship between each knowledge item concept and each related meaning concept; and program code for adjusting the probability for each knowledge item concept based on the strengths.
24. The computer-readable medium of claim 14, wherein the knowledge item meaning comprises a weighted vector of concepts.
25. The computer-readable medium of claim 14, wherein the knowledge item meaning comprises related clusters of words.
26. The computer-readable medium of claim 14, wherein the knowledge item comprises a plurality of concepts, a plurality of related meanings are determined, each related meaning comprising a plurality of concepts, and determining the knowledge item meaning comprises:
program code for establishing a probability for each knowledge item concept that the knowledge item should be resolved in part to the knowledge item concept;
and program code for establishing a probability for each related meaning concept that the knowledge item should be resolved in part to the related meaning concept.
CA2534053A 2003-07-30 2004-07-23 Methods and systems for understanding a meaning of a knowledge item using information associated with the knowledge item Active CA2534053C (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US49142203P 2003-07-30 2003-07-30
US60/491,422 2003-07-30
US10/690,328 US7925610B2 (en) 1999-09-22 2003-10-21 Determining a meaning of a knowledge item using document-based information
US10/690,328 2003-10-21
PCT/US2004/023826 WO2005013149A1 (en) 2003-07-30 2004-07-23 Methods and systems for understanding a meaning of a knowledge item using information associated with the knowledge item

Publications (2)

Publication Number Publication Date
CA2534053A1 true CA2534053A1 (en) 2005-02-10
CA2534053C CA2534053C (en) 2012-11-27

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US (3) US7925610B2 (en)
EP (1) EP1649395A1 (en)
AU (2) AU2004262302B2 (en)
BR (1) BRPI0413070A (en)
CA (1) CA2534053C (en)
NO (1) NO335884B1 (en)
WO (1) WO2005013149A1 (en)

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