Incorporating terminology evolution for query translation in text retrieval with association rules

Amal Kalurachchi, Aparna S. Varde, Srikanta Bedathur, Gerhard Weikum, Jing Peng, Anna Feldman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

Time-stamped documents such as newswire articles, blog posts and other web-pages are often archived online. When these archives cover long spans of time, the terminology within them could undergo significant changes. Hence when users pose queries pertaining to historical information over such documents, the queries need to be translated taking into account these temporal changes in order to provide accurate responses to users. For example, a query on Sri Lanka should automatically retrieve documents with its former name Ceylon. We call such concepts SITACs, i.e., Semantically Identical Temporally Altering Concepts. In order to discover SITACs, we propose an approach based on a novel framework constituting an integration of natural language processing, association rule mining and contextual similarity as a learning technique. The proposed approach has been experimented with real data and has been found to yield good results with respect to efficiency and accuracy.

Original languageEnglish
Title of host publicationCIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops
Pages1789-1792
Number of pages4
DOIs
StatePublished - 1 Dec 2010
Event19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10 - Toronto, ON, Canada
Duration: 26 Oct 201030 Oct 2010

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
CountryCanada
CityToronto, ON
Period26/10/1030/10/10

Keywords

  • Association rules
  • Contextual similarity
  • Natural language processing
  • Ranking
  • Search
  • Web IR

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  • Cite this

    Kalurachchi, A., Varde, A. S., Bedathur, S., Weikum, G., Peng, J., & Feldman, A. (2010). Incorporating terminology evolution for query translation in text retrieval with association rules. In CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops (pp. 1789-1792). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1871437.1871730