Customizable and Ontology-Enhanced Medical Information Retrieval Interfaces
Information Systems and Technology (CGU)
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.
© 1999 Gondy Leroy, K.M. Tolle, and Hsinchun Chen
G. Leroy, K. M. Tolle, and H. Chen, "Customizable and Ontology-Enhanced Medical Information Retrieval Interfaces," presented at the IMIA WG6 Triennial Conference on Natural Language and Medical Concept Representation, Phoenix, Arizona, December, 1999.