Semantic Graph Based Document-Indexing Strategy for MEDLINE
The indexing vocabulary is an important determinant of success in text retrieval. Researchers have compared the effectiveness of indexing strategies using free-text and controlled vocabularies in a variety of text contexts. This paper introduces a new approach in creating indices for medical literat...
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Published in | 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Vol. 1; pp. 287 - 290 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2010
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Subjects | |
Online Access | Get full text |
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Summary: | The indexing vocabulary is an important determinant of success in text retrieval. Researchers have compared the effectiveness of indexing strategies using free-text and controlled vocabularies in a variety of text contexts. This paper introduces a new approach in creating indices for medical literature using the Semantic Graph (SG) derived from both UMLS Metathesaurus and WordNet. Our performance studies indicate that using the Semantic Graph based strategy results in an increase in 11pt-average precision over traditional free-text and MeSH indexed strategies. |
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ISBN: | 9781424484829 1424484820 |
DOI: | 10.1109/WI-IAT.2010.65 |