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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2017, 22(6), pp.69-77
  • DOI : 10.9708/jksci.2017.22.06.069
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : April 28, 2017
  • Accepted : June 23, 2017
  • Published : June 30, 2017

DaeWoong Jo 1 Myung Ho Kim 1

1숭실대학교

Accredited

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.

Citation status

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