Abstract
In this paper we propose some preliminary insights on how the relationship of Law and AI affects the identification of implicit knowledge in the legal domain. From a theoretical point of view, the notion of knowledge, as conceived in AI, is problematical for law, because it cannot be solved making recourse to a dominant theory on truth. As it is known, the current state of legal research is fragmented, not only on the issue of identifying truth, but more generally on the issue of evaluating the relationships between formalism and informalism in law. in diverse theories of truth. From an operational point of view, new advances in terms of social network analysis could be fruitful to knowledge discovery in the legal domain, especially for application of legal ontologies in multicultural contexts.
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Ajani, G., Rossi, P. (2010). Sailing the Semantic Seas by Structural Vessels: Problems and Perspectives for the Identification of Implicit Knowledge in the Legal Domain. In: Casanovas, P., Pagallo, U., Sartor, G., Ajani, G. (eds) AI Approaches to the Complexity of Legal Systems. Complex Systems, the Semantic Web, Ontologies, Argumentation, and Dialogue. AICOL 2009. Lecture Notes in Computer Science(), vol 6237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16524-5_3
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