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

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.