基于语义图的MEDLINE文档索引策略

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Pub Date : 2010-08-31 DOI:10.1109/WI-IAT.2010.65

William P. Taylor, J. Wang

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引用次数: 2

摘要

索引词汇表是文本检索成功与否的重要决定因素。研究人员比较了在各种文本环境中使用自由文本和控制词汇的索引策略的有效性。本文介绍了一种利用UMLS元词库和WordNet派生的语义图(SG)创建医学文献索引的新方法。我们的性能研究表明，使用基于语义图的策略比传统的自由文本和MeSH索引策略提高了平均11个百分点的精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 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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来源期刊

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

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