| Semantic-based information retrieval of biomedical data |
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Symposium on Applied Computing
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Proceedings of the 2006 ACM symposium on Applied computing
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Dijon, France
SESSION: Semantic-based resource discovery, retrieval and composition (RDRC)
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Pages: 1700 - 1704
Year of Publication: 2006
ISBN:1-59593-108-2
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Authors
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Peng Yan
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The Pennsylvania State University, University Park, PA
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Yu Jiao
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Oak Ridge National Laboratory, MS
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Ali R. Hurson
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The Pennsylvania State University, University Park, PA
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Thomas E. Potok
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Oak Ridge National Laboratory, MS
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Downloads (6 Weeks): 8, Downloads (12 Months): 39, Citation Count: 1
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ABSTRACT
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.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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