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Semantic-based information retrieval of biomedical data
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Proceedings of the 2006 ACM symposium on Applied computing table of contents
Dijon, France
SESSION: Semantic-based resource discovery, retrieval and composition (RDRC) table of contents
Pages: 1700 - 1704  
Year of Publication: 2006
ISBN:1-59593-108-2
Authors
Peng Yan  The Pennsylvania State University, University Park, PA
Yu Jiao  Oak Ridge National Laboratory, MS
Ali R. Hurson  The Pennsylvania State University, University Park, PA
Thomas E. Potok  Oak Ridge National Laboratory, MS
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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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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Collaborative Colleagues:
Peng Yan: colleagues
Yu Jiao: colleagues
Ali R. Hurson: colleagues
Thomas E. Potok: colleagues