Research on Ontology Construction Automatically in the Law Field

Abstract:

In this information society, the traditional method of ontology construction can’t meet the demand for researchers. Because it’s a difficult task to build ontology by hands. The research of automatical construction of ontology is still in the primary stage, especially in the law field. Considering the above condition, this paper gives a Research on Ontology Construction Automatically in the Law Field; we put forward the method of using LLR formula in the step of term abstraction to improve the precision and applying K-means clustering algorithm to obtain better relations of concepts hierarchy. Compared with the approach of constructing ontology by hands, it gets better effect on the law ontology.

• Periodical: Applied Mechanics and Materials (Volumes 303-306)
• Pages: 1585-1589
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.303-306.1585
• Online since: February 2013
• Authors: Jun Yun Wu, Cai Yun Xie
• Keywords: Cluster, Finding Relations of Concepts, K-Mean, Term Extraction

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