Experiments with hierarchical concept-based search

Robert Moskovitch, Roee Sa'Adon, Eytan Behiri, Susana Martins, Aviram Weiss, Yuval Shahar

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

1 Scopus citations

Abstract

Many digital libraries use hierarchical indexing schema, such as MeSH to enable concept based search in the retrieval phase. However, improving or outperforming the traditional full text search isn't trivial. We present an extensive set of experiments using a hierarchical concept based search retrieval method, applied in addition to several baselines, within the Vaidruya search and retrieval framework. Concept Based Search applied in addition to a low baseline is outperforming significantly, especially when queried on concepts in the third level and using disjunction within the hierarchical trees.

Original languageEnglish
Title of host publicationMEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics
Subtitle of host publicationBuilding Sustainable Health Systems
PublisherIOS Press
Pages422-426
Number of pages5
ISBN (Print)9781586037741
StatePublished - 1 Jan 2007
Event12th World Congress on Medical Informatics, MEDINFO 2007 - Brisbane, QLD, Australia
Duration: 20 Aug 200724 Aug 2007

Publication series

NameStudies in Health Technology and Informatics
Volume129
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference12th World Congress on Medical Informatics, MEDINFO 2007
Country/TerritoryAustralia
CityBrisbane, QLD
Period20/08/0724/08/07

Keywords

  • concept based search
  • medical text retrieval

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