Improving information retrieval with multiple health terminologies in a quality-controlled gateway
| Autor: | Stéfan Jacques Darmoni, Laetitia Rollin, Philippe Massari, Catherine Letord, Saoussen Sakji, Lina Fatima Soualmia |
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| Rok vydání: | 2012 |
| Předmět: |
Thesaurus (information retrieval)
Internet Information retrieval Computer science business.industry Research Search engine indexing Information storage and retrieval Abstracting and indexing Gateway (web page) Health informatics Vocabulary Terminology as topic Index (publishing) Information system The Internet Web resource Cataloguing business Controlled |
| Zdroj: | Health Information Science and Systems |
| ISSN: | 2047-2501 |
| Popis: | Background The Catalog and Index of French-language Health Internet resources (CISMeF) is a quality-controlled health gateway, primarily for Web resources in French (n=89,751). Recently, we achieved a major improvement in the structure of the catalogue by setting-up multiple terminologies, based on twelve health terminologies available in French, to overcome the potential weakness of the MeSH thesaurus, which is the main and pivotal terminology we use for indexing and retrieval since 1995. The main aim of this study was to estimate the added-value of exploiting several terminologies and their semantic relationships to improve Web resource indexing and retrieval in CISMeF, in order to provide additional health resources which meet the users’ expectations. Methods Twelve terminologies were integrated into the CISMeF information system to set up multiple-terminologies indexing and retrieval. The same sets of thirty queries were run: (i) by exploiting the hierarchical structure of the MeSH, and (ii) by exploiting the additional twelve terminologies and their semantic links. The two search modes were evaluated and compared. Results The overall coverage of the multiple-terminologies search mode was improved by comparison to the coverage of using the MeSH (16,283 vs. 14,159) (+15%). These additional findings were estimated at 56.6% relevant results, 24.7% intermediate results and 18.7% irrelevant. Conclusion The multiple-terminologies approach improved information retrieval. These results suggest that integrating additional health terminologies was able to improve recall. Since performing the study, 21 other terminologies have been added which should enable us to make broader studies in multiple-terminologies information retrieval. |
| Databáze: | OpenAIRE |
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