Customizable and Ontology-Enhanced Medical Information Retrieval Interfaces

Document Type

Conference Proceeding


Information Systems and Technology (CGU)

Publication Date



Computer Sciences | Databases and Information Systems | Management Information Systems | Medicine and Health Sciences


This paper describes the development and testing of the Medical Concept Mapper as an aid to providing synonyms and semantically related concepts to improve searching. All terms are related to the userquery and fit into the query context. The system is unique because its five components combine humancreated and computer-generated elements. The Arizona Noun Phraser extracts phrases from natural language user queries. WordNet and the UMLS Metathesaurus provide synonyms. The Arizona Concept Space generates conceptually related terms. Semantic relationships between queries and concepts are established using the UMLS Semantic Net. Two user studies conducted to evaluate the system are described.

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© 1999 Gondy Leroy, K.M. Tolle, and Hsinchun Chen

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