WRAPIN: new generation health search engine using UMLS knowledge sources for MeSH term extraction from health documentation.
To realize the potential of the Internet as a source of valuable healthcare information, for the general public, patients or practitioners, it is imperative to establish a validation system based on standards of quality. The WRAPIN project (World-wide online Reliable Advice to Patients and Individuals) from the European Community has this ambitious goal. WRAPIN is a federating system for medical information with an editorial policy of intelligently sharing quality and professional information. The WRAPIN project has two main axes: the efficient and intelligent search of information and the assertion of the trustworthiness of content. This article presents the scientific challenges involved in extracting the knowledge from text-based information in order to better manage the knowledge and the rest of the retrieval proc-ess. Our innovative approach is to efficiently extract MeSH terms from the analyzed documents exploiting UMLS knowledge sources. A benefit has been measured when comparing extraction results. Even if the evaluation is made with a limited corpus, this research work proposes heuristics that can be validated to the whole biomedical domain, and possibly enhanced by the adjunction of other methods.
Gaudinat
Arnaud
A
Health On the Net (HON) Foundation, 24 rue Michelie-du-crest, 1211 Geneva 14, Switzerland. Arnaud.Gaudinat@healthonnet.org
Joubert
Michel
M
Aymard
Sylvain
S
Falco
Laurent
L
Boyer
Célia
C
Fieschi
Marius
M
D000043:Abstracting and Indexing; D006801:Humans; D007255:Information Services / Q000592:standards; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet / Q000592:standards; D046650:Medical Subject Headings; D009323:Natural Language Processing; D017432:Unified Medical Language System