Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
Formal Ontology in Information Systems: Proceedings of the 1st International Conference June 6-8, 1998, Trento, Italy
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Facilitating the Legislation Process Using a Shared Conceptual Model
IEEE Intelligent Systems
IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
AI Magazine
A Semantic Web Primer, 2nd Edition (Cooperative Information Systems)
A Semantic Web Primer, 2nd Edition (Cooperative Information Systems)
Automated Legal Assessment in OWL 2
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
BestPortal: Lessons Learned in Lightweight Semantic Access to Court Proceedings
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
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Official documents, and particularly legal ones like law codes, often contain ambiguities and/or inconsistencies, due to linguistic problems like polysemy, as well as ontological problems like underspecification, disagreements and/or false agreements. Such problems can be identified by formalizing the terminology of a domain in terms of an ontology. We show this phenomenon in a particular domain, the definition of different classes of vehicles. Defining accurately these different vehicle types shed light on some of these semantic deficiencies present in two Brazilian legal codes responsible for defining vehicles' categories in an unambiguous manner for many purposes, e.g. tax calculations, and, more importantly, to make e-government systems interoperate while taking laws into account in a Semantic Web scenario. In this work, we define a framework linking the linguistic and conceptual problems to semantic deficiencies and show how these deficiencies were identified during the vehicles' ontology construction.