A pilot study of a predicate-based vector space model for a biomedical search engine

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

2 Scopus citations

Abstract

A search engine that supports finding precise biomedical statements, but also complementary, and contrasting information would greatly help biomedical researchers. We propose the use of predicates in a search engine's underlying data structure to accomplish this. A predicate is a triple that combines two phrases with a predicate. We report on the development and evaluation of a search engine that includes the predicates in its underlying data structure. The evaluation of the search engine was conducted by comparing three different approaches: keyword-based search, triple-based search, and an additive search that combines keywords and predicates. Cancer researchers provided the queries, relevant to their ongoing work, and evaluated the outcome in a double-blind fashion. The results showed that the combined approach, which combines triple-based and keyword-based approaches, always outperformed the 2 other approaches.

Original languageEnglish (US)
Title of host publication2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Pages1001-1003
Number of pages3
DOIs
StatePublished - Dec 1 2011
Event2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States
Duration: Nov 12 2011Nov 15 2011

Publication series

Name2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Other

Other2011 IEEE International Conference onBioinformatics and Biomedicine Workshops, BIBMW 2011
Country/TerritoryUnited States
CityAtlanta, GA
Period11/12/1111/15/11

Keywords

  • biomedical search engine
  • predicate
  • triple
  • vector space model

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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