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


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


METHODS
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.


CONCLUSIONS
if this feasibility study is confirmed by another evaluation of more resources, CISMeF-RRA will be implemented in the CISMeF catalog.
Merabti
Tayeb
T
CISMeF, Rouen University Hospital, France.
Pereira
Suzanne
S
Letord
Catherine
C
Lecroq
Thierry
T
Joubert
Michel
M
Dahamna
Badisse
B
Darmoni
Stéfan J
SJ
D000043:Abstracting and Indexing; D000465:Algorithms; D016206:Databases, Bibliographic; D005240:Feasibility Studies; D006801:Humans; D016247:Information Storage and Retrieval; D020407:Internet; D016239:MEDLINE; D046650:Medical Subject Headings; D039781:PubMed; D011786:Quality Control; D012660:Semantics; D018875:Vocabulary, Controlled