Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Semi-automatic Legal Ontology Construction based on Korean Language Sentence Patterns

  • Received : 2017.04.28
  • Accepted : 2017.06.23
  • Published : 2017.06.30
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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.

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References

  1. Benjamins. V. R., Casanovas. P., Breuker. J. and Gangemi., A., "Law and the Semantic Web, an Introduction," In Law and Semantic Web, LNAI, vol. 3369, pp. 1-17, 2005.
  2. Gruber. T. R., "Toward Principles for the Design of Ontologies Used for Knowledge Sharing.," International journal of human-computer studies, vol. 43, no. 5, pp. 907-928, Nov, 1995. https://doi.org/10.1006/ijhc.1995.1081
  3. Borst. W. N., "Construction of Engineering Ontologies for Knowledge Sharing and Reuse," PhD Thesis, University of Tweenty, Enschede, NL-Centre for Telematica and Information Technology, Sep, 1997.
  4. De Giacomo. G. and Lenzerini. M., "TBox and ABox reasoning in expressive description logics," KR, vol. 96, pp. 316-327, 1996.
  5. He-ping. C., Lu. H. and Bin. C., "Research and implementation of ontology automatic construction based on relational database," In Computer Science and Software Engineering, 2008 International Conference on IEEE, vol. 5, pp. 1078-1081, Dec, 2008.
  6. Velardi. P., Fabriani. P. and Missikoff. M, "Using text processing techniques to automatically enrich a domain ontology," in Proc. of the international conference on Formal Ontology in Information Systems ACM, vol. 2001, pp. 270-284, Oct, 2001.
  7. Burmans, G., "Mapping between Relational Databases and OWL Ontologies:an Example," Scientific Papers. University of Latvia, vol. 756, pp. 99-117, 2010.
  8. Das. S., Sundara. S and Cyganiak. R., "R2RML: RDB to RDF Mapping Language," W3C Recommendation, Sep, 2012.
  9. Vysniauskas. E. and Nemuraite. L, "Transforming Ontology Representation from OWL to Relational Database," Information Technology and Control, vol. 35, no.3, pp. 333-343, Mar, 2006.
  10. Nguyen. B. A., and Yang. D. L., "A semi-automatic approach to construct Vietnamese ontology from online text," The International Review of Research in Open and Distributed Learning, vol. 13, no. 5, pp. 148-172, Dec, 2012. https://doi.org/10.19173/irrodl.v13i5.1250
  11. Rezgui, Y., "Text-based domain ontology building using tf-idf and metric clusters techniques," The Knowledge Engineering Review, vol. 22, no. 4, pp. 379-403, Dec, 2007. https://doi.org/10.1017/S0269888907001130
  12. Dahab. M. Y., Hassan. H. A. and Rafea. A., "TextOntoEx: Automatic ontology construction from natural English text," Expert Systems with Applications, vol. 34, no. 2, pp. 1474-1480, Feb, 2008. https://doi.org/10.1016/j.eswa.2007.01.043
  13. Witte. R., Khamis. N., and Rilling. J, "Flexible Ontology Population from Text: The OwlExporter," In LREC, vol. 2010, pp. 3845-3850, May, 2010.
  14. Bruckschen. M., Northfleet. C., Silva. D. M., Bridi. P., Granada. R., Vieira, R. and Sander. T, "Named entity recognition in the legal domain for ontology population." in Workshop Programme, May, 2010.
  15. Peters. W., "Text-based legal ontology enrichment," Proceedings of LOAIT, pp. 55-66, 2009.
  16. D. W. Jo and M. H. Kim, "A Study on Legal Ontology Construction," Journal of The Korea Society of Computer and Information, Vol. 19, No. 11, pp. 105-114, Nov, 2014. https://doi.org/10.9708/jksci.2014.19.11.105
  17. Ministry of Government Legislation, "Easy Maintenance Standards Legislation," vol. 5, pp. 138-148, 2012.
  18. ACT ON PROMOTION OF THE PROVISION AND USE OF PUBLIC DATA, http://elaw.klri.re.kr/kor_service/lawView.do?hseq=30365&lang=ENG, 2013.
  19. ROAD TRAFFIC ACT, http://elaw.klri.re.kr/kor_service/lawView.do?hseq=22353&lang=ENG, 2011.
  20. INTERNET ADDRESS RESOURCES ACT, http://elaw.klri.re.kr/kor_service/lawView.do?hseq=29655&lang=ENG. 2013.
  21. ACT ON UTILIZATION AND FOSTERING OF NATIONAL SUPER-COMPUTERS, http://elaw.klri.re.kr/kor_service/lawView.do?hseq=28496&lang=ENG, 2013
  22. PASSPORT, http://elaw.klri.re.kr/kor_service/lawView.do?hseq=29285&lang=ENG, 2013.
  23. D. W. Jo, "A Framework for Automatic Legal Ontology Construction and Semantic Retrieval," PhD Thesis, Soongsil University, Dec, 2014.