title: Using multi-terminology indexing for the assignment of MeSH descriptors to health resources in a French online catalogue.
abstract: 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.
authors.affiliation: CISMeF, LITIS EA 4108, University of Rouen, France.
authors.forename: Suzanne
authors.initials: S
authors.lastname: Pereira
authors.forename: Aurélie
authors.initials: A
authors.lastname: Névéol
authors.forename: Gaétan
authors.initials: G
authors.lastname: Kerdelhué
authors.forename: Elisabeth
authors.initials: E
authors.lastname: Serrot
authors.forename: Michel
authors.initials: M
authors.lastname: Joubert
authors.forename: Stéfan J
authors.initials: SJ
authors.lastname: Darmoni
mesh_terms: 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