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AMIA Annu Symp Proc. 2008 Nov 6:586-90.

Using multi-terminology indexing for the assignment of MeSH descriptors to health resources in a French online catalogue.

Author information

1
CISMeF, LITIS EA 4108, University of Rouen, France.

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.

CONCLUSION:

F-MTI will soon be used in the CISMeF production environment and in a Health MultiTerminology Server in French.

PMID:
18998933
PMCID:
PMC2656077
[Indexed for MEDLINE]
Free PMC Article

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