Using multi-terminology indexing for the assignment of MeSH descriptors to health resources in a French online catalogue.
BACKGROUND
To assist with the development of a French online quality-controlled health gateway(CISMeF), an automatic indexing tool assigning MeSH descriptors to medical text in French was created. The French Multi-Terminology Indexer (FMTI) relies on a multi-terminology approach involving four prominent medical terminologies and the mappings between them.


OBJECTIVE
In this paper,we compare lemmatization and stemming as methods to process French medical text for indexing. We also evaluate the multi-terminology approach implemented in F-MTI.


METHODS
The indexing strategies were assessed on a corpus of 18,814 resources indexed manually.


RESULTS
There is little difference in the indexing performance when lemmatization or stemming is used. However, the multi-terminology approach outperforms indexing relying on a single terminology in terms of recall.


CONCLUSIONS
F-MTI will soon be used in the CISMeF production environment and in a Health MultiTerminology Server in French.
Pereira
Suzanne
S
CISMeF, LITIS EA 4108, University of Rouen, France.
Névéol
Aurélie
A
Kerdelhué
Gaétan
G
Serrot
Elisabeth
E
Joubert
Michel
M
Darmoni
Stéfan J
SJ
D000043:Abstracting and Indexing / Q000379:methods*; D000465:Algorithms; D001185:Artificial Intelligence; D002381:Catalogs, Library; D004018:Dictionaries, Medical as Topic; D005602:France; D006295:Health Resources / Q000145:classification*; D020407:Internet; D046650:Medical Subject Headings; D009323:Natural Language Processing; D009862:Online Systems; D010363:Pattern Recognition, Automated / Q000379:methods*; D013358:Subject Headings; D014481:United States