Recording the reasons for design decisions
ICSE '88 Proceedings of the 10th international conference on Software engineering
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
A method for the development of legal knowledge systems
Proceedings of the 6th international conference on Artificial intelligence and law
Brahms: simulating practice for work systems design
International Journal of Human-Computer Studies
A methodology for ontology integration
Proceedings of the 1st international conference on Knowledge capture
Ontological Engineering
Iuriservice II: ontology development and architectural design
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Dynamic Aspects of OPJK Legal Ontology
Computable Models of the Law
Concepts and Fields of Relational Justice
Computable Models of the Law
An Ontology-Based Decision Support System for Judges
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
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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.