Abstract
This paper reflects the results of a study conducted as a side work connected with the development of ALIS (Automated Legal Intelligent System), modeling a representation of legal knowledge in the area of intellectual property rights using the RuleBurst rule-based system technology. In this first stage, our work has been focused on Italian Copyright law, with the aim to develop a method that could be extended and applied, in a subsequent stage, to other IP legislations in Europe. The integration in the ALIS decision support system of the Ruleburst inferencing system with an advanced legal text retrieval engine and a game-theory strategy engine is facilitated by using a (quasi) natural language-knowledge representation, enhancing the benefits of isomorphism.
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Contissa, G. (2008). Rulebase Technology and Legal Knowledge Representation. In: Casanovas, P., Sartor, G., Casellas, N., Rubino, R. (eds) Computable Models of the Law. Lecture Notes in Computer Science(), vol 4884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85569-9_16
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DOI: https://doi.org/10.1007/978-3-540-85569-9_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85568-2
Online ISBN: 978-3-540-85569-9
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