Semi-automatic Legal Ontology Construction based on Korean Language Sentence Patterns (문장 패턴 기반의 법령 온톨로지 반자동 구축)

DaeWoong Jo (조대웅); Myung-Ho Kim (김명호)

doi:10.9708/jksci.2017.22.06.069

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.

KEYWORDS

Semi-automatic Construction, Legal Ontology, Korean Language Sentence Patterns, Semantic Web, Ontology Engineering

Citation status

* References for papers published after 2023 are currently being built.

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KJCKorea
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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

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

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

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

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.