DOI QR코드

DOI QR Code

Developing and Evaluating an Ontology-based Legal Retrieval System

온톨로지 기반 법률 검색시스템의 구축 및 평가에 관한 연구

  • Received : 2011.04.16
  • Accepted : 2011.05.16
  • Published : 2011.05.30

Abstract

The law affects our daily lives, and hence, constitutes a crucial information resource. However, electronic access to legal information using keyword-based retrieval systems appears to provide users with limited satisfaction. There are many factors behind this inadequacy. First, the discrepancies between formal legal terms and their counterparts in common language are quite large. Second, the situation is further confounded by frequent abbreviations in legal terms. Third, even though there is a constant deluge of legal information, users' needs have evolved to demand more Q and A type searches. All of these factors make the existing retrieval systems inefficient and ineffective. This article suggests an ontology-based system as a means to deal with such difficulties. To that end, a legal retrieval system(experimental system), built on the basis of a newly-constructed law ontology, was tested against a keyword-based legal retrieval system(existing one), yielding data on their relative effectiveness in retrieval and user satisfaction.

Keywords

Legal Ontology;Ontology-based Legal Information Retrieval System;Measures of Retrieval Effectiveness;Measures of User Satisfactions

References

  1. 김재호, 이경순, 오종훈, 장두성, 최기선. 2001. KorQATeC 2.0 질의/응답 시스템의 성능 평가를 위한 평가집합 구축. 한국정보과학회 언어공학연구회 01 제13회 한글 및 한국어 정보처리 학술대회, 12: 397-404.
  2. Benjamins, V. R., Casanovas, P., Breuker, J., & Gangemi, A. 2005a. "An introduction." Law and the Semantic Web. 1-17. [New York]: Springer-Verlag Berlin Heidelberg.
  3. Benjamins, V. R., Casanovas, P., Contreras, J., & Lopez Cobo, J. M. 2005b. "Iuriservice: An intelligent frequently asked questions system to assist newly appointed judges." Law and the Semantic Web. 201-217. [New York]: Springer-Verlag Berlin Heidelberg.
  4. Boella, G., Lesmo, L., & Damiano, R. 2005. "On the ontological status of norms." Law and the Semantic Web, 125-141. [New York]: Springer-Verlag Berlin Heidelberg.
  5. Breuker, J., Casanovas, P., & Klein Michel C. A. 2009. Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood. Nieuwe Hemweg: IOS Press.
  6. Breuker, J., Hoekstra, R., Boer, A., & van den Berg, K. 2007. OWL Ontology of Basic Legal Concepts(LKIF-Core) Deliverable 1.4. [S.l.]: Information Society Technologies.
  7. Breuker, J., Valente, A. and Winkels, R. 2004. "Legal ontologies in knowledge engineering and information management." Artificial Intelligence and Law, 12: 241-277. https://doi.org/10.1007/s10506-006-0002-1
  8. Casanovas, P., Casellas, N., & Valbe, J-J. 2009. An Ontology-Based Decision Support System for Judges. 165-175. Amsterdam: IOS Press.
  9. Gangemi, A., Sagri, M-T., & Tiscornia, D. 2005. "A constructive framework for legal ontologies." Law and the Semantic Web, 97-124. [New York]: Springer-Verlag Berlin Heidelberg.
  10. Hoekstra, R., Breuker, J., Di Bello, M., & Boer, A. 2009. LKIF-Core: Principled Ontology Development for the Legal Domain. 21-52. [Amsterdam]: IOS Press.
  11. Kingston, J., Schafer, B., & Vandenberghe, W. 2005. "No model behaviour: ontologies for fraud detection." Law and the Semantic Web, 233-248. [New York]: Springer-Verlag Berlin Heidelberg.
  12. Lame, G. 2005. "Using NLP techniques to identify legal ontology components: concepts and relations." Law and the Semantic Web, 169-184. [New York]: Springer-Verlag Berlin Heidelberg.
  13. Lehmann, J., Breuker, J., & Brouwer, B. 2005. "$CAUSATIO^{NT}$: modeling causation in AI & Law." Law and the Semantic Web, 77-96. [New York]: Springer-Verlag Berlin Heidelberg.
  14. McCarty, L. T. 1989. "A language for legal discourse: I. Basic features." Proceedings of the Second International Conference on Artificial Intelligence and Law, 180-189. Vancouver, Canada.
  15. Noy, N. F., & McGuinness, D. L. 2001. Ontology Development 101: A Guide to Creating Your First Ontology. Stanford, CA: Stanford University.
  16. Stamper, K. R. 1991. "The role of semantics in legal expert systems and legal reasoning." Ratio Juris, 4(2): 219-244. https://doi.org/10.1111/j.1467-9337.1991.tb00094.x
  17. Valente, A. 1995. Legal Knowledge Engineering: A Modelling Approach. Amsterdam: University of Amsterdam; IOS Press.
  18. van Laarschot, Ronny. 2005. Ontology-Based Knowledge Modelling in Dutch Civil Law. MSc thesis, Department of Artificial Intelligence, Vrije Universiteit Amsterdam.

Cited by

  1. A Study on Legal Ontology Construction vol.19, pp.11, 2014, https://doi.org/10.9708/jksci.2014.19.11.105