Evaluation of Meta-1 for a concept-based approach to the automated indexing and retrieval of bibliographic and full-text databases.
SAPHIRE is a concept-based approach to information retrieval in the biomedical domain. Indexing and retrieval are based on a concept-matching algorithm that processes free text to identify concepts and map them to their canonical form. This process requires a large vocabulary containing a breadth of medical concepts and a diversity of synonym forms, which is provided by the Meta-1 vocabulary from the Unified Medical Language System Project of the National Library of Medicine. This paper describes the use of Meta-1 in SAPHIRE and an evaluation of both entities in the context of an information retrieval study.
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Biomedical Information Communication Center, Oregon Health Sciences University, Portland 97201.
D000004:Abbreviations as Topic; D000043:Abstracting and Indexing / Q000379:methods*; D003628:Database Management Systems / Q000592:standards*; D016206:Databases, Bibliographic; D016208:Databases, Factual; D003663:Decision Trees; D005069:Evaluation Studies as Topic; D006801:Humans; D009323:Natural Language Processing; D012984:Software; D013358:Subject Headings; D009626:Terminology as Topic