Thesaurus-based query and document expansion in conceptual indexing with UMLS: Application in medical information retrieval

Author

Diem, Le Thi Hoang ; Chevallet, Jean-Pierre ; Thuy, Dong Thi Bich

Author_Institution

Lab. CLIPS-IMAG, Joseph Fourier Univ., Grenoble

fYear

2007

fDate

5-9 March 2007

Firstpage

242

Lastpage

246

Abstract

UMLS is known as largest thesaurus in biomedical domain constructed by Library National of Medicine. In this paper, we aim to evaluate effect of the exploration of UMLS knowledge in medical domain information retrieval by mapping large text of collection ImageCLEFMed to UMLS concepts, and expanding queries and documents automatically base on semantic relations in the UMLS hierarchy. We get the encouraging result with the best enhancement on MAP of 66% compared to text only retrieval, and 34% compared to conceptual indexing baseline.

Keywords

document handling; information retrieval; medical information systems; query processing; thesauri; Library National of Medicine; UMLS hierarchy; conceptual indexing; document expansion; medical information retrieval; thesaurus-based query; Biomedical imaging; Bridges; Cities and towns; Indexing; Information retrieval; Laboratories; Libraries; Terminology; Thesauri; Unified modeling language; Conceptual indexing; UMLS; document expansion; query expansion; semantic relation;

fLanguage

English

Publisher

ieee

Conference_Titel

Research, Innovation and Vision for the Future, 2007 IEEE International Conference on

Conference_Location

Hanoi

Print_ISBN

1-4244-0694-3

Type

conf

DOI

10.1109/RIVF.2007.369163

Filename

4223080