Semantic Annotation for Concept-Based Cross-Language Medical Information Retrieval

Martin Volk; Bärbel Ripplinger; Spela Vintar; Paul Buitelaar; Diana Raileanu; Bogdan Sacaleanu

In: International Journal of Medical Informatics, Vol. 67, No. 1-3, Pages 97-112, 2002.


We present a framework for concept-based cross-language information retrieval in the medical domain, which is under development in the MUCHMORE project. Our approach is based on using the Unified Medical Language System (UMLS) as the primary source of semantic data. Documents and queries are annotated with multiple layers of linguistic information. Linguistic processing includes part-of-speech tagging, morphological analysis, phrase recognition and the identification of medical terms and semantic relations between them. The paper describes experiments in monolingual and cross-language document retrieval, performed on a corpus of medical abstracts. Results show that linguistic processing, especially lemmatization and compound analysis for German, is a crucial step in achieving a good baseline performance. On the other hand, they show that semantic information, specifically the combined use of concepts and relations, increases the performance in monolingual and cross-language retrieval.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence