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Evaluation of multi-terminology super-concepts for information retrieval.

Abstract : BACKGROUND: Following a recent change in the indexing policy for French quality controlled health gateway CISMeF, multiple terminologies are now being used for indexing in addition to MeSH®. OBJECTIVE: To evaluate precision and recall of super-concepts for information retrieval in a multi-terminology paradigm compared to MeSH-only. METHODS: We evaluate the relevance of resources retrieved by multi-terminology super-concepts and MeSH-only super-concepts queries. RESULTS: Recall was 8-14% higher for multi-terminology super-concepts compared to MeSH only super-concepts. Precision decreased from 0.66 for MeSH only super-concepts to 0.61 for multi-terminology super-concepts. Retrieval performance was found to vary significantly depending on the super-concepts (p<10-4) and indexing methods (manual vs automatic; p<0.004). CONCLUSION: A multi-terminology paradigm contributes to increase recall but lowers precision. Automated tools for indexing are not accurate enough to allow a very precise information retrieval.
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https://hal.inria.fr/hal-00845363
Contributor : Lina F Soualmia <>
Submitted on : Wednesday, July 17, 2013 - 12:54:55 AM
Last modification on : Thursday, December 12, 2019 - 2:12:09 PM

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  • HAL Id : hal-00845363, version 1
  • PUBMED : 21893798

Citation

Nicolas Griffon, Lina F Soualmia, Aurélie Névéol, Philippe Massari, Benoit Thirion, et al.. Evaluation of multi-terminology super-concepts for information retrieval.. Studies in Health Technology and Informatics, IOS Press, 2011, 169, pp.492-6. ⟨hal-00845363⟩

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