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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References
Alakwaa, W., Salah, A.: Article: Model Transformation from Ontology Model to Content Analysis Model. International Journal of Computer Applications 7, 5–12 (2010)
Astrova, I., Korda, N., Kalja, A.: Storing OWL Ontologies in SQL Relational Databases. International Journal of Electrical, Computer, and Systems Engineering 1, 242–247 (2007)
Cao, L., Luo, D., Luo, C., Liu, L.: Ontology Transformation in Multiple Domains. In: Australian Conference on Artificial Intelligence, Australia, pp. 985–990 (2004)
Che Cob, Z., Abdullah, R.: Ontology-based Semantic Web Services Framework for Knowledge Management System. In: International Symposium on Information Technology, Malaysia, pp. 1–8 (2008)
Chettaoui, H., Noel, F.: Synchronisation of heterogeneous design models of manufactured products by the formulation of business knowledge. International Journal of Computer Applications in Technology 37, 230–243 (2010)
Goknil, A., Topaloglu, N.Y.: Ontological perspective in metamodeling for model transformations. In: 2005 Symposia on Metainformatics, Denmark, pp. 73–84 (2005)
Gruber, T.: Towards Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal Human-Computer Studies 43, 907–928 (1993)
Grundstein, M., Barthès, J.-P.: An industrial view of the process of capitalizing knowledge. In: 4th International Symposium on the Management of Industrial and Corporate Knowledge, Rotterdam, pp. 258–264 (1996)
Lahoud, I., Monticolo, D., Gomes, S.: OCEAN: A Semantic Web Service to Extract Knowledge in E-Groupwares. In: 6th International Conference on Signal-Image Technology and Internet-Based Systems, Kuala Lumpur, pp. 354–362 (2010)
Maier, R.: Knowledge management systems: Information and communication technologies for knowledge management. Springer, Berlin (2002)
Nemirovskij, G., Wolters, M., Heuel, E.: Distributed Study: a Semantic Web Services Approach for Modelling a Common Educational Space. In: World Conference on Educational Multimedia, Hypermedia and Telecommunications, Chesapeake, pp. 2007–2014 (2008)
Object Management Group, http://www.omg.org/docs/omg/03-06-01.pdf
Object Management Group, http://www.omg.org/
Roser, S., Bauer, B.: Ontology-Based Model Transformation. In: Bruel, J.-M. (ed.) MoDELS 2005. LNCS, vol. 3844, pp. 355–356. Springer, Heidelberg (2006)
Yang, H., Qingping, Y., Xizhi, S., Peng, W.: Applying semantic web services to enterprise web. In: 6th International Conference on Manufacturing Research, pp. 9–11. Brunel University, UK (2008)
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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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