Semantic-based information retrieval of biomedical data

In this paper, we propose to improve the effectiveness of biomedical information retrieval via a medical thesaurus. We analyzed the deficiencies of the existing medical thesauri and reconstructed a new thesaurus, called MEDTHES, which follows the ANSI/NISO Z39.19-2003 standard. MEDTHES also endows the users with fine-grained control of information retrieval by providing functions to calculate the semantic similarity between words. We demonstrate the usage of MEDTHES through an existing data search engine. Categories and Subject Descriptors H.4 [Information Systems Applications] Keywords Semantic-based Information Retrieval, MeSH, Thesaurus, Semantic Similarity

• Type: Conference
• Year: 2006
• Where: SAC
• Authors: Peng Yan, Yu Jiao, Ali R. Hurson, Thomas E. Potok
• Keywords: Applied Computing, Biomedical Information Retrieval, Information Retrieval, SAC 2006, Semantic Similarity