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http://dx.doi.org/10.9708/jksci.2017.22.06.069

Semi-automatic Legal Ontology Construction based on Korean Language Sentence Patterns  

Jo, Dae Woong (School of Software, Soongsil University)
Kim, Myung Ho (School of Software, Soongsil University)
Publication Information
Journal of the Korea Society of Computer and Information / v.22, no.6, 2017 , pp. 69-77 More about this Journal
Abstract
The information related to legislation is massive, and it takes much time and effort to manually build the legislation ontology. Thus, studies on machine-based automated building methods are underway. However, the studies to automatically construct such systems focus on using TBox construction, and those based on automated ABox construction, which corresponds to instances, theoretical systems and data building cases, has not yet been sufficiently developed. Therefore, this paper suggests using a semi-automatic ABox construction method based on sentence patterns to automatically build the ontology for the legislation of the Republic of Korea. Precision and Recall experiments were conducted to further discuss the performance of the suggested method. These experiments provide a comparison between the manual classification, and the triples built by the machines of the legal information by assessing the corresponding numerical values.
Keywords
Semi-automatic Construction; Legal Ontology; Korean Language Sentence Patterns; Semantic Web; Ontology Engineering;
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Times Cited By KSCI : 1  (Citation Analysis)
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