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Searching related resources in a quality controlled health gateway: a feasibility study.

Author information

  • 1CISMeF, Rouen University Hospital, France.

Abstract

OBJECTIVE:

The neighbors of a document are those documents in a corpus that are most similar to it. The objective of this paper is to develop and evaluate the related resources algorithm (CISMeF-RRA) in the context of a quality-controlled health gateway on the Internet CISMeF.

METHOD:

CISMeF-RRA is inspired by the PubMed Related Citations Articles. CISMeF-RRA combines statistical distances with a semantic distance using MeSH terms/qualifiers.

MATERIAL:

In this feasibility study an evaluation was performed using 50 CISMeF resources randomly chosen.

RESULTS:

Overall, 49% of the related documents were ranked as relevant.

CONCLUSION:

if this feasibility study is confirmed by another evaluation of more resources, CISMeF-RRA will be implemented in the CISMeF catalog.

PMID:
18487737
[PubMed - indexed for MEDLINE]
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