Format

Send to

Choose Destination
J Am Med Inform Assoc. 2007 May-Jun;14(3):253-63. Epub 2007 Feb 28.

Essie: a concept-based search engine for structured biomedical text.

Author information

1
Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD 20894, USA. ide@nlm.nih.gov

Abstract

This article describes the algorithms implemented in the Essie search engine that is currently serving several Web sites at the National Library of Medicine. Essie is a phrase-based search engine with term and concept query expansion and probabilistic relevancy ranking. Essie's design is motivated by an observation that query terms are often conceptually related to terms in a document, without actually occurring in the document text. Essie's performance was evaluated using data and standard evaluation methods from the 2003 and 2006 Text REtrieval Conference (TREC) Genomics track. Essie was the best-performing search engine in the 2003 TREC Genomics track and achieved results comparable to those of the highest-ranking systems on the 2006 TREC Genomics track task. Essie shows that a judicious combination of exploiting document structure, phrase searching, and concept based query expansion is a useful approach for information retrieval in the biomedical domain.

PMID:
17329729
PMCID:
PMC2244877
DOI:
10.1197/jamia.M2233
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Silverchair Information Systems Icon for PubMed Central
Loading ...
Support Center