Traditional resources help interpret texts

J. Gelernter, Michael Lesk

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

2 Scopus citations

Abstract

Simple word matching between the user query and document is common, as are mis-matches of meaning that occur as a consequence, and errors in recall. These defects in the "bag of words" model are well known, and raising the semantic level of representation will improve retrieval. This can be done by expanding words and user queries using traditional reference sources such as gazetteers and synonym lists or ontologies.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 ACM Workshop on Research Advances in Large Digital Book Repositories, BooksOnline'08, Co-located with the 17th ACM Conference on Information and Knowledge Management, CIKM'08
Pages17-20
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 ACM Workshop on Research Advances in Large Digital Book Repositories, BooksOnline'08, Co-located with the 17th ACM Conference on Information and Knowledge Management, CIKM'08 - Napa Valley, CA, United States
Duration: Oct 26 2008Oct 30 2008

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other2008 ACM Workshop on Research Advances in Large Digital Book Repositories, BooksOnline'08, Co-located with the 17th ACM Conference on Information and Knowledge Management, CIKM'08
CountryUnited States
CityNapa Valley, CA
Period10/26/0810/30/08

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All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

Keywords

  • Information retrieval
  • Knowledge representation
  • Ontologies

Cite this

Gelernter, J., & Lesk, M. (2008). Traditional resources help interpret texts. In Proceedings of the 2008 ACM Workshop on Research Advances in Large Digital Book Repositories, BooksOnline'08, Co-located with the 17th ACM Conference on Information and Knowledge Management, CIKM'08 (pp. 17-20). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1458412.1458418