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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References
Labarga, A., Valentin, F., Anderson, M., Lopez, R.: Web services at the european bioinformatics institute. Nucleic Acids Research Advance 35, W6–W11 (2007)
Crampin, E., Halstead, M., Nielsen, P.H.P., Noble, D., Smith, N., Tawhai, M.: Computational physiology and the physiome project. Experimental Physiology 89(1), 1–26 (2002)
Li: Enterprise interoperability – research roadmap – version 4.0. Technical report, European Community, Information Society Technologies (2006), http://cordis.europa.eu/ist/ict-ent-net/ei-roadmap_en.htm
Atzeni, P., Torlone, R.: Managing heterogeneous data models in a graph-theoretic framework. In: Proceedings of the 3rd International Conference on Information and Knowledge Management, CIKM 1994, Gaithersburg, Maryland, USA (1994)
Jeusfeld, M., Johnen, U.: An executable meta model for re-engineering of database schemas. In: Proceedings of the 13th International Conference on Entity-relationship Approach, Manchester, UK (1994)
Lou, J.: Data model description and translation using the meta-model SOME. Ph.D thesis, EPFL, Lausanne, Switzerland (1997)
Falkenberg, E.D., Han Oei, J.: Meta model hierarchies from an object-role modeling perspective. In: Proceedings of the 1st International Conference on Object-Role Modeling, ORM-1, Magnetic Island, Australia (1994)
Frederiks, P., ter Hofstede, A., Lippe, E.: A unifying framework for conceptual data modelling concepts. Information and Software Technology 39(1), 15–25 (1997)
Vassiliadis, P., Simitsis, A., Skiadopoulos, S.: Conceptual modeling for etl processes. In: DOLAP, pp. 14–21 (2002)
Czarnecki, K., Helsen, S.: Classification of model transformation approaches. In: Proceedings of the OOPSLA Workshop on Generative Techniques in the Context of Model-Driven Architecture (2003)
Bao, J., Hu, Z., Caragea, D., Reecy, J., Honavar, V.: A tool for collaborative construction of large biological ontologies (2006)
Terrasse, M.N., Roux, M.: Metamodeling architectures for complex data integration in biology. International Journal of Biomedical Engineering and Technology Special issue Warehousing and Mining Complex Data: Applications to Biology, Medicine, Behavior, Health and Environment 3(2) (to appear, 2009)
Da Costa, A., Leclercq, E., Gaudin, A., Gascuel, J., Terrasse, M.: Organizing metadata into models and ontologies for lowering annotation costs of a biological image database. Studies in Computational Intelligence (2008) ISSN : 1860-949X
Jones, A., Miller, M., Spellman, P., Pizarro, A.: Fuge: Funtionnal genomics experiment model specification. FuGE Working Group, Recommandation (draft) (2007)
Golbreich, C., Horrocks, I.: The OBO to OWL mapping, GO to OWL 1.1! In: Proceedings of the 3rd Int. Workshop on OWL: Experiences and Directions (OWLED 2007) (2007)
ODM: Ontology definition metamodel (August 2005), http://www.omg.org/docs/ad/05-08-01.pdf
Motik, B., Horrocks, I., Sattler, U.: Bridging the gap between owl and relational databases (2007)
Patel-Schneider, P., Horrocks, I.: A comparison of two modelling paradigms in the semantic web. ACM, New York (2006)
Besson, L., Savelli, J., Leclercq, E., Terrasse, M.N.: Ikosem’s generic model for syntactical and semantical image description: the core component of a framework for image database engineering. In: Proceedings of the 10th International Workshop on Multimedia Information Systems, Maryland, USA (2004)
Evermann, J., Wand, Y.: Ontology based object-oriented domain modelling: fundamental concepts. Requirements Engineering 10, 146–160 (2005)
Mascardi, V., Corde, V., Rosso, P.: Comparison of upper-level ontologies. Technical Report DISI-TR-06-2, DISI (Univ. degli Studi di Genova) Italy (2006)
Evermann, J.: A UML and OWL description of Bunge’s upper-level ontology model. Software and Systems Modeling (2008), doi:10.1007/s10270-008-0082-3
Lu, S., Parsons, J.: Enforcing Ontological Rules in UML-Based Conceptual Modeling: Principles and Implementation. In: Halpin, T., Siau, K., Krogstie, J. (eds.) Proceedings of the Workshop on Evaluating Modeling Methods for Systems Analysis and Design (EMMSAD 2005), held in conjunctiun with the 17th Conference on Advanced Information Systems (CAiSE 2005), Porto, Portugal, EU, FEUP, Porto, Portugal, EU, pp. 451–462 (2005)
Noy, N.F.: Semantic integration: a survey of ontology-based approaches. SIGMOD Rec. 33(4), 65–70 (2004)
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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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