Abstract
The management of semantical quality is a major challenge in the context of knowledge integration. In this paper, we describe a new approach to constraint management that emphasizes constraint traceability when moving from the semantical level to the operational one.
Our strategy for management of semantical quality is related to a metamo-deling-based approach to knowledge integration. We carry out knowledge integration “on the fly” by using transformations applied to models belonging to our metamodeling architecture. The resulting integrated models access available resources through web services whose input and output parameters are guarded by constraints. Integrated metamodels, models, web services and various constraints are produced by ETL (extract-transform-load) operations that are applied both at the model and concept levels. Our metamodeling architectures facilitate scaling up of constraint verification.
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Terrasse, MN., Leclercq, E., Savonnet, M., Da Costa, A., Naubourg, P., Roux-Rouquie, M. (2008). Domain Knowledge Integration and Semantical Quality Management –A Biology Case Study–. In: Song, IY., et al. Advances in Conceptual Modeling – Challenges and Opportunities. ER 2008. Lecture Notes in Computer Science, vol 5232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87991-6_6
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DOI: https://doi.org/10.1007/978-3-540-87991-6_6
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