Semantic-based information retrieval of biomedical data

Peng Yan, Yu Jiao, Ali R. Hurson, Thomas E. Potok

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this paper, we propose to improve the effectiveness of biomedical information retrieval via a medical thesaurus. We analyzed the deficiencies of the existing medical thesauri and reconstructed a new thesaurus, called MEDTHES, which follows the ANSI/NISO Z39.19-2003 standard. MEDTHES also endows the users with fine-grained control of information retrieval by providing functions to calculate the semantic similarity between words. We demonstrate the usage of MEDTHES through an existing data search engine.

Original languageEnglish
Title of host publicationApplied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing
PublisherAssociation for Computing Machinery
Pages1700-1704
Number of pages5
ISBN (Print)1595931082, 9781595931085
DOIs
StatePublished - 2006
Event2006 ACM Symposium on Applied Computing - Dijon, France
Duration: Apr 23 2006Apr 27 2006

Publication series

NameProceedings of the ACM Symposium on Applied Computing
Volume2

Conference

Conference2006 ACM Symposium on Applied Computing
Country/TerritoryFrance
CityDijon
Period04/23/0604/27/06

Keywords

  • MeSH
  • Semantic similarity
  • Semantic-based information retrieval
  • Thesaurus

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