Abstract
Applications in eGovernment domain often manage a knowledge base containing information about citizens. In this domain many commissions have to statute on citizens conditions in order to allow some assistance. Processes for classifying citizens have to be proposed to simplify the work of these commissions.
We propose a method for automatically classify instances of concepts in knowledge bases. In this categorization, instances may themselves belong to a category defined by a rule or may be associated to specific instances or concepts defined in an ontology. We consider three types of classification that can be applied to the main criteria of social care applications.
We also present a module allowing tools to get all required information about the categorization of elements in a knowledge base and in particular the categorization of citizens.
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© 2007 Springer-Verlag Berlin Heidelberg
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Moulin, C., Bettahar, F., Barthès, JP., Sbodio, M.L. (2007). Ontology Based Categorization in eGovernment Application. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS. OTM 2007. Lecture Notes in Computer Science, vol 4803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76848-7_75
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DOI: https://doi.org/10.1007/978-3-540-76848-7_75
Publisher Name: Springer, Berlin, Heidelberg
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