Abstract
Among the goals of Knowledge Management (KM) we can cite the identification and capitalization of the know-how of companies in order to organize and disseminate them. KM is recognized as a non-trivial task. In the context of extended enterprises it is even more difficult because they are geographically distributed and use heterogeneous information systems. Indeed, informations from which knowledge is derived from are stored in different databases, distributed in different sites across the entire network of the extended enterprise. This paper proposes a semi-automatic approach for knowledge extraction from several databases. This knowledge will be stored in an organizational memory (OM). The approach is based upon the definition of ontologies for knowledge exchange and Model Driven Engineering concepts such as meta-models and transformation to process requests.
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Lahoud, I., Monticolo, D., Hilaire, V., Gomes, S. (2012). A Metamodeling and Transformation Approach for Knowledge Extraction. In: Benlamri, R. (eds) Networked Digital Technologies. NDT 2012. Communications in Computer and Information Science, vol 294. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30567-2_6
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DOI: https://doi.org/10.1007/978-3-642-30567-2_6
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