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| A Term Similarity Algorithm Based on Context Dependency Relation Pattern |
| Xu Jian |
| School of Information Management, Sun Yat-Sen University, Guangzhou 510006, China |
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Abstract Based on the problems in typical term context similarity algorithm, the paper puts forward a new term similarity algorithm which constructs context patterns automatically by sentences dependencies analysis and then computes term similarity by mapping context patterns. The algorithm provides a better way to construct term context patterns. Meanwhile, term context characters are kept well in patterns. The paper also presents the specific implementation steps of new algorithm, and evaluates the algorithm on basis of gene engineering field experiment data set. Experiment result demonstrates that the algorithm has an obvious improvement in computing performance.
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Received: 22 July 2011
Published: 02 December 2011
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