Abstract
The Dutch Immigration and Naturalisation Service is replacing its existing paper based case system with a fully electronic system with integrated decision support based on ontologies. In nature a large proportion of the organisations knowledge is based on law and regulations. In acquiring this legal knowledge for modelling we faced the classic knowledge acquisition bottleneck due to communication problems between experts from different background. To overcome this bottleneck a methodology was developed to transfer these laws in semantic knowledge models, based on legal patterns. In this paper we describe different archetypes of law and how these are transformed in models with the help of patterns. The patterns are thereby used for both translation of the true meaning of the law and for inclusion in the semantic models for automatic execution.
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Kordelaar, P., van Teeseling, F., Hoogland, E. (2010). Acquiring and Modelling Legal Knowledge Using Patterns: An Application for the Dutch Immigration and Naturalisation Service. In: Cimiano, P., Pinto, H.S. (eds) Knowledge Engineering and Management by the Masses. EKAW 2010. Lecture Notes in Computer Science(), vol 6317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16438-5_24
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DOI: https://doi.org/10.1007/978-3-642-16438-5_24
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