Evaluation of Multi-Terminology Super-Concepts for Information Retrieval

被引：1
|
作者：
Griffon, Nicolas [1 ]
Soualmia, Lina F. [2 ,3 ]
Neveol, Aurelie [4 ]
Massari, Philippe [1 ]
Thirion, Benoit [1 ,2 ]
Dahamna, Badisse [1 ,2 ]
Darmoni, Stefan J. [1 ,2 ]
机构：
[1] Rouen Univ Hosp, CISMeF, 1 Rue Germont, F-76031 Rouen, France
[2] Univ Rouen, BTIBS LITIS, EA 4108, Rouen, France
[3] Univ Paris 13, LIM&Bio, F-93430 Villetaneuse, France
[4] NLM, Natl Ctr Biotechnol Informat, Bethesda, MD 20894 USA
来源：
USER CENTRED NETWORKED HEALTH CARE | 2011年 / 169卷
关键词：
abstracting and indexing; cataloguing; information storage and retrieval; internet; controlled vocabulary;
D O I：
10.3233/978-1-60750-806-9-492
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
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 (R). 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.
引用
收藏
页码：492 / 496
页数：5
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