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OPJK and DILIGENT: ontology modeling in a distributed environment

OPJK and DILIGENT: ontology modeling in a distributed environment In the legal domain, ontologies enjoy quite some reputation as a way to model normative knowledge about laws and jurisprudence. This paper describes the methodology followed when developing the ontology used by the second version of the prototype Iuriservice, a web-based intelligent FAQ for judicial use. This modeling methodology has had two important requirements: on the one hand, the ontology needed to be extracted from a repository of professional judicial knowledge (containing nearly 800 questions regarding daily practice). Thus, the construction of ontologies of professional judicial knowledge demanded the description of this knowledge as it is perceived by the judge. On the other hand, due to the distributiveness of the environment, there was a need for controlled discussion and traceability of the arguments used in favor or against the introduction of a concept X as part of the domain ontology. This paper presents the Ontology of Professional Judicial Knowledge (OPJK), extracted manually from the selection of relevant terms from judicial practice questions and modeled according to the DILIGENT methodology. We will show that DILIGENT has proved to be a methodology that facilitates the ontology engineering in a distributed environment, although appropriate tool support needs to be developed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence and Law Springer Journals

OPJK and DILIGENT: ontology modeling in a distributed environment

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Publisher
Springer Journals
Copyright
Copyright © 2007 by Springer Science+Business Media B.V.
Subject
Computer Science; Artificial Intelligence (incl. Robotics); International IT and Media Law, Intellectual Property Law; Philosophy of Law; Legal Aspects of Computing; Information Storage and Retrieval
ISSN
0924-8463
eISSN
1572-8382
DOI
10.1007/s10506-007-9036-2
Publisher site
See Article on Publisher Site

Abstract

In the legal domain, ontologies enjoy quite some reputation as a way to model normative knowledge about laws and jurisprudence. This paper describes the methodology followed when developing the ontology used by the second version of the prototype Iuriservice, a web-based intelligent FAQ for judicial use. This modeling methodology has had two important requirements: on the one hand, the ontology needed to be extracted from a repository of professional judicial knowledge (containing nearly 800 questions regarding daily practice). Thus, the construction of ontologies of professional judicial knowledge demanded the description of this knowledge as it is perceived by the judge. On the other hand, due to the distributiveness of the environment, there was a need for controlled discussion and traceability of the arguments used in favor or against the introduction of a concept X as part of the domain ontology. This paper presents the Ontology of Professional Judicial Knowledge (OPJK), extracted manually from the selection of relevant terms from judicial practice questions and modeled according to the DILIGENT methodology. We will show that DILIGENT has proved to be a methodology that facilitates the ontology engineering in a distributed environment, although appropriate tool support needs to be developed.

Journal

Artificial Intelligence and Law – Springer Journals

Published: Feb 10, 2007

References

  • Legal Knowledge and Information Systems Jurix 2004
    Benjamins, V. R.; Contreras, J.; Blázquez, M.; Rodrigo, L.; Casanovas, P.; Poblet, M.
  • Use and reuse of legal ontologies in knowledge engineering and information management
    Breuker, J.; Valente, A.; Winkels, R.
  • Supporting newly-appointed judges: a legal knowledge management case study
    Casanovas, P.; Poblet, M.; Casellas, N.; Contreras, J.; Benjamins, R.; Blázquez, M.
  • Brahms. Simulating practice for work systems design
    Clancey, W. J.; Sachs, P.; Sierhus, M.; Hoof, R.
  • Formal Ontology in Information Systems
    Gangemi, A.; Pisanelli, D.; Steve, G.
  • Toward principles for the design of ontologies used for knowledge sharing
    Gruber, T. R.
  • The Structure of Discourse
    Mann, W. C.; Thompson, S. A.