Title :
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
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;
Conference_Titel :
Research, Innovation and Vision for the Future, 2007 IEEE International Conference on
Conference_Location :
Hanoi
Print_ISBN :
1-4244-0694-3
DOI :
10.1109/RIVF.2007.369163
