Abstract
Flexible data integration has been an important IT research goal for decades. About ten years ago, a significant step was taken with the introduction of declarative methods (e.g., Clio). Since this work, mostly based on classic dependency analysis, extensions have been developed that express more powerful semantic relationships. However, much of this work has remained focused at the relational database (i.e., relatively low) level, and many of the extensions revert to specific algorithms and function specifications. At the same time, models have evolved to incorporate more powerful semantics (object or ontology-based methods). The work presented in the paper uses flexible metamodel-based mapping definitions that enable a model-driven engineering approach to integration, allowing declarative mapping specifications to be automatically executed at runtime within a single-formalism and single-tool framework. The paper reports how to create executable mappings for large-scale data integration scenarios with an interactive graphical tool.
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References
ISO 15926 – Industrial automation systems and integration: Integration of life-cycle data for process plants including oil and gas production facilities: Part 2: Data model. ISO (2003)
ISO 10303 – Industrial automation systems and integration: Product data representation and exchange: Part 11: Description methods: EXPRESS language reference manual. ISO (2004)
ISO 13374 – Condition monitoring and diagnostics of machines: Data processing, communication and presentation: Part 2: Data processing. ISO, Geneva (2007)
ISO 15926 – Industrial automation systems and integration: Integration of life-cycle data for process plants including oil and gas production facilities: Part 7: Implementation methods for the integration of distributed system – Template methodology. ISO, Geneva (2008)
Open Systems Architecture for Enterprise Application Integration – Version 3.2.2 Specification, MIMOSA (2010), http://www.mimosa.org/?q=resources/specs/osa-eai-v322
Agt, H., Bauhoff, G., Cartsburg, M., Kumpe, D., Kutsche, R.-D., Milanovic, N.: Metamodeling foundation for software and data integration. In: Proc. 3rd Intl. United Information Systems Conf. (UNISCON), pp. 328–339. Springer, Heidelberg (2009)
Batres, R., West, M., Leal, D., Price, D., Masaki, K., Shimada, Y., Fuchino, T., Naka, Y.: An upper ontology based on ISO 15926. Comp. & Chemical Eng. 31(5-6), 519–534 (2007)
Bengtsson, M.: Standardization issues in condition based maintenance. In: Proc. 16th Intl. Cong. on Condition Monitoring and Diagnostic Eng. Mgmt., pp. 651–660. Univ. Press (2003)
Draheim, D., Himsl, M., Jabornig, D., Küng, J., Leithner, W., Regner, P., Wiesinger, T.: Concept and pragmatics of an intuitive visualization-oriented metamodeling tool. J. Vis. Lang. Comput. 21(3), 157–170 (2010)
Grossmann, G., Ren, Y., Schrefl, M., Stumptner, M.: Behavior based integration of composite business processes. In: van der Aalst, W.M.P., Benatallah, B., Casati, F., Curbera, F. (eds.) BPM 2005. LNCS, vol. 3649, pp. 186–204. Springer, Heidelberg (2005)
Haas, L.M., Hentschel, M., Kossmann, D., Miller, R.J.: Schema and data: A holistic approach to mapping, resolution and fusion in information integration. In: Proc. 28th Intl. Conf. on Conceptual Modeling (ER), pp. 27–40. Springer, Heidelberg (2009)
Hakkarainen, S., Hella, L., Strasunskas, D., Tuxen, S.: A semantic transformation approach for ISO 15926. In: Roddick, J., Benjamins, V.R., Si-said Cherfi, S., Chiang, R., Claramunt, C., Elmasri, R.A., Grandi, F., Han, H., Hepp, M., Lytras, M.D., Mišić, V.B., Poels, G., Song, I.-Y., Trujillo, J., Vangenot, C. (eds.) ER Workshops 2006. LNCS, vol. 4231, pp. 281–290. Springer, Heidelberg (2006)
Lin, S., Gao, J., Koronios, A., Chanana, V.: Developing a data quality framework for asset management in engineering organisations. IJIQ 1(1), 100–126 (2007)
MIMOSA (April 2010), http://www.mimosa.org/?q=about/what-mimosa
Pelekis, N., Theodoulidis, B., Kopanakis, I., Theodoridis, Y.: Literature review of spatio-temporal database models. The Knowledge Eng. Review 19(3), 235–274 (2004)
Rahm, E., Bernstein, P.A.: A survey of approaches to automatic schema matching. VLDB J. 10(4), 334–350 (2001)
Template specifications for ISO15926 part 7, http://rdlfacade.org/files/iso15926-7/ts/
Shtelma, M., Cartsburg, M., Milanovic, N.: Executable domain specific language for message-based system integration. In: Schürr, A., Selic, B. (eds.) MODELS 2009. LNCS, vol. 5795, pp. 622–626. Springer, Heidelberg (2009)
Smith, B.: Against idiosyncrasy in ontology development. In: Frontiers in Artificial Intelligence and Applications (FOIS), vol. 150, pp. 15–26. IOS Press, Amsterdam (2006)
Thiagarajan, R.K., Mayer, W., Stumptner, M.: A generative framework for service process composition. In: Baresi, L., Chi, C.-H., Suzuki, J. (eds.) ICSOC-ServiceWave 2009. LNCS, vol. 5900, pp. 358–363. Springer, Heidelberg (2009)
Tryfona, N., Price, R., Jensen, C.S.: Conceptual models for spatio-temporal applications. In: Sellis, T.K., Koubarakis, M., Frank, A., Grumbach, S., Güting, R.H., Jensen, C., Lorentzos, N.A., Manolopoulos, Y., Nardelli, E., Pernici, B., Theodoulidis, B., Tryfona, N., Schek, H.-J., Scholl, M.O. (eds.) Spatio-Temporal Databases. LNCS, vol. 2520, pp. 79–116. Springer, Heidelberg (2003)
Yuan, M.: Use of a three-domain repesentation to enhance GIS support for complex spatiotemporal queries. Trans. on GIS 3(2), 137–159 (1999)
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Berger, S., Grossmann, G., Stumptner, M., Schrefl, M. (2010). Metamodel-Based Information Integration at Industrial Scale. In: Petriu, D.C., Rouquette, N., Haugen, Ø. (eds) Model Driven Engineering Languages and Systems. MODELS 2010. Lecture Notes in Computer Science, vol 6395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16129-2_12
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DOI: https://doi.org/10.1007/978-3-642-16129-2_12
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