Article

Acquiring ontological knowledge from query logs

Authors:

Satoshi Sekine,

Hisami SuzukiAuthors Info & Claims

WWW '07: Proceedings of the 16th international conference on World Wide Web

Pages 1223 - 1224

https://doi.org/10.1145/1242572.1242777

Published: 08 May 2007 Publication History

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Abstract

We present a method for acquiring ontological knowledge using search query logs. We first use query logs to identify important contexts associated with terms belonging to a semantic category; we then use these contexts to harvest new words belonging to this category. Our evaluation on selected categories indicates that the method works very well to help harvesting terms, achieving 85% to 95% accuracy in categorizing newly acquired terms.

References

[1]

Sekine, S, Nobata, C. "Definition, Dictionary and Tagger for Extended Named Entities" LREC 2004.

Google Scholar

[2]

Extended Named Entity definition and resources http://nlp.cs.nyu.edu/ene

Google Scholar

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Brin, S. "Extracting Patterns and Relations from the World Wide Web", Workshop on the Web and Database 1998.

Digital Library

Google Scholar

[4]

Collins, M and Singer, Y. "Unsupervised Models for Named Entity Classification". EMNLP and VLC 1999.

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Cited By

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Qiao XCao HZhao T(2016)Improving Unsupervised Dependency Parsing with Knowledge from Query LogsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/290372016:1(1-12)Online publication date: 22-Jun-2016
https://dl.acm.org/doi/10.1145/2903720
Paşca MChung CBroder AShim KSuel T(2014)Acquisition of open-domain classes via intersective semanticsProceedings of the 23rd international conference on World wide web10.1145/2566486.2567966(551-562)Online publication date: 7-Apr-2014
https://dl.acm.org/doi/10.1145/2566486.2567966
Tannebaum WRauber A(2014)Using query logs of USPTO patent examiners for automatic query expansion in patent searchingInformation Retrieval10.1007/s10791-014-9238-717:5-6(452-470)Online publication date: 22-Feb-2014
https://doi.org/10.1007/s10791-014-9238-7
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Index Terms

Acquiring ontological knowledge from query logs
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
  2. Machine learning
    1. Learning settings

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Information & Contributors

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Published In

WWW '07: Proceedings of the 16th international conference on World Wide Web

May 2007

1382 pages

ISBN:9781595936547

DOI:10.1145/1242572

General Chairs:
Carey Williamson
University of Calgary, Canada
,
Mary Ellen Zurko
IBM, USA
,
Program Chairs:
Peter Patel-Schneider
Bell Labs Research, USA
,
Prashant Shenoy
University of Massachusetts at Amherst, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 May 2007

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WWW'07

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WWW'07: 16th International World Wide Web Conference

May 8 - 12, 2007

Alberta, Banff, Canada

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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Qiao XCao HZhao T(2016)Improving Unsupervised Dependency Parsing with Knowledge from Query LogsACM Transactions on Asian and Low-Resource Language Information Processing10.1145/290372016:1(1-12)Online publication date: 22-Jun-2016
https://dl.acm.org/doi/10.1145/2903720
Paşca MChung CBroder AShim KSuel T(2014)Acquisition of open-domain classes via intersective semanticsProceedings of the 23rd international conference on World wide web10.1145/2566486.2567966(551-562)Online publication date: 7-Apr-2014
https://dl.acm.org/doi/10.1145/2566486.2567966
Tannebaum WRauber A(2014)Using query logs of USPTO patent examiners for automatic query expansion in patent searchingInformation Retrieval10.1007/s10791-014-9238-717:5-6(452-470)Online publication date: 22-Feb-2014
https://doi.org/10.1007/s10791-014-9238-7
Tanaka YSuhara YHiroshima NToda HSusaki S(2013)Snippet Generation by Identifying Attribute Associated InformationInformation Retrieval Technology10.1007/978-3-642-45068-6_5(50-61)Online publication date: 2013
https://doi.org/10.1007/978-3-642-45068-6_5
Sadamitsu KSaito KImamura KMatsuo YKikui G(2012)Entity Set Expansion based on Bootstrapping Methods using Topic InformationJournal of Natural Language Processing10.5715/jnlp.19.8919:2(89-106)Online publication date: 2012
https://doi.org/10.5715/jnlp.19.89
Pantel PLin TGamon MLi HLin COsborne M(2012)Mining entity types from query logs via user intent modelingProceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 110.5555/2390524.2390603(563-571)Online publication date: 8-Jul-2012
https://dl.acm.org/doi/10.5555/2390524.2390603
Lin TPantel PGamon MKannan AFuxman AMille AGandon FMisselis JRabinovich MStaab S(2012)Active objectsProceedings of the 21st international conference on World Wide Web10.1145/2187836.2187916(589-598)Online publication date: 16-Apr-2012
https://dl.acm.org/doi/10.1145/2187836.2187916
Kato MSakai TTanaka KMille AGandon FMisselis JRabinovich MStaab S(2012)Structured query suggestion for specialization and parallel movementProceedings of the 21st international conference on World Wide Web10.1145/2187836.2187890(389-398)Online publication date: 16-Apr-2012
https://dl.acm.org/doi/10.1145/2187836.2187890
Tannebaum WRauber A(2012)Acquiring Lexical Knowledge from Query Logs for Query Expansion in Patent SearchingProceedings of the 2012 IEEE Sixth International Conference on Semantic Computing10.1109/ICSC.2012.15(336-338)Online publication date: 19-Sep-2012
https://dl.acm.org/doi/10.1109/ICSC.2012.15
Agosti MCrivellari FDi Nunzio G(2012)Web log analysisData Mining and Knowledge Discovery10.1007/s10618-011-0228-824:3(663-696)Online publication date: 1-May-2012
https://dl.acm.org/doi/10.1007/s10618-011-0228-8
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Multi-Viewpoints Ontological Knowledge Representation: A Fuzzy Description Logics Based Approach

Acquiring Lexical Knowledge from Query Logs for Query Expansion in Patent Searching

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