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Synthesis of the Canonical Models for Database Integration Preserving Semantics of the Value Inventive Data Models

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Advances in Databases and Information Systems (ADBIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7503))

Abstract

Recently families of sets of dependencies treated as the Datalog extensions were discovered for which the interpretation of queries becomes tractable. Such families are intended for inference of new, unknown values in the process of query answering. This paper considers such decidable classes of dependencies as the assets for creation of new data models (called in the paper the value inventive data models) analogously to axiomatic extension of the canonical model kernel used so far for unification of structured and object data models aimed at heterogeneous database integration. The paper examines the decidable classes of dependencies reflecting the semantics of value inventive data models considering such classes to be the extensions of the canonical data model kernel. The issue of identifying of decidable subsets of the canonical model extension is considered.

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References

  1. Abrial, J.-R.: The B-Book. Cambridge University Press (1996)

    Google Scholar 

  2. Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases. Addison-Wesley (1995)

    Google Scholar 

  3. Baget, J.-F., Leclere, M., Mugnier, M.-L.: Walking the Decidability Line for Rules with Existential Variables. In: Proceedings of the 12th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2010 (2010)

    Google Scholar 

  4. Beeri, C., Vardi, M.Y.: A proof procedure for data dependencies. JACM 31(4), 718–741 (1984)

    Article  MathSciNet  MATH  Google Scholar 

  5. Cali, A., Martinenghi, D.: Querying Incomplete Data over Extended ER Schemata. Theory and Practice of Logic Programming (Logic Programming in Databases: from Datalog to Semantic-Web Rules), vol. 10(3), pp. 291–329. Cambridge University Press (2010)

    Google Scholar 

  6. Calvanese, D., Giacomo, G.D., Lembo, D., Lenzerini, M., Rosati, R.: Data complexity of query answering in description logic. In: Proc. of KR 2006, pp. 260–270 (2006)

    Google Scholar 

  7. Calì, A., Gottlob, G., Lukasiewicz, T.: A General Datalog-Based Framework for Tractable Query Answering over Ontologies. In: PODS 2009, June 29-July 2 (2009)

    Google Scholar 

  8. Calì, A., Gottlob, G., Lukasiewicz, T., Marnette, B., Pieris, A.: Datalog±: A Family of Logical Knowledge Representation and Query Languages for New Applications. In: 25th Annual IEEE Symposium on Logic in Computer Science, pp. 228–242 (2010)

    Google Scholar 

  9. Calì, A., Gottlob, G., Pieris, A.: Query Answering under Non-guarded Rules in Datalog + / −. In: Hitzler, P., Lukasiewicz, T. (eds.) RR 2010. LNCS, vol. 6333, pp. 1–17. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  10. Calì, A., Gottlob, G., Pieris, A.: Tractable Query Answering over Conceptual Schemata. In: Laender, A.H.F., Castano, S., Dayal, U., Casati, F., de Oliveira, J.P.M. (eds.) ER 2009. LNCS, vol. 5829, pp. 175–190. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  11. Calì, A., Gottlob, G., Pieris, A.: New Expressive Languages for Ontological Query Answering. In: Proc. of the Twenty-Fifth AAAI Conference on Artificial Intelligence (2011)

    Google Scholar 

  12. Calì, A., Gottlob, G., Pieris, A.: Ontological query answering under expressive Entity Relationship schemata. Information Systems 37, 320–335 (2012)

    Article  Google Scholar 

  13. ten Cate, B., Kolaitis, P.G.: Structural Characterizations of Schema-Mapping Languages. In: CACM, vol. 53(1) (2010)

    Google Scholar 

  14. Fagin, R., Kolaitis, P.G., Miller, R.J., Popa, L.: Data exchange: semantics and query answering. Theoretical Computer Science 336, 89–124 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  15. Gottlob, G., Orsi, G., Pieris, A.: Ontological Query Answering via Rewriting. In: Eder, J., Bielikova, M., Tjoa, A.M. (eds.) ADBIS 2011. LNCS, vol. 6909, pp. 1–18. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  16. Gottlob, G., Orsi, G., Pieris, A.: Ontological Queries Rewriting and Optimization. In: ICDE 2011 (2011)

    Google Scholar 

  17. Hull, R., Yoshikawa, M.: ILOG: Declarative Creation and Manipulation of Object Identifiers. In: VLDB, pp. 455–468 (1990)

    Google Scholar 

  18. Kalinichenko, L.A., Briukhov, D.O., Martynov, D.O., Skvortsov, N.A., Stupnikov, S.: Mediation framework for enterprise information system infrastructures. In: 9th International Conference on Enterprise Information Systems (ICEIS) (2007)

    Google Scholar 

  19. Kalinichenko, L.A.: Methods and Tools for Integration of Heterogeneous Databases, 423 p. Science Publ., Moscow (1983) (in Russian)

    Google Scholar 

  20. Kalinichenko, L.A.: Methods and Tools for Equivalent Data Model Mapping Construction. In: Bancilhon, F., Tsichritzis, D., Thanos, C. (eds.) EDBT 1990. LNCS, vol. 416, pp. 92–119. Springer, Heidelberg (1990)

    Chapter  Google Scholar 

  21. Kalinichenko, L.A.: SYNTHESIS: the language for description, design and programming of the heterogeneous interoperable information resource environment. Institute of Informatics Problems. Russian Academy of Sciences, Moscow (1993)

    Google Scholar 

  22. Kalinichenko, L.A.: Method for Data Models Integration in the Common Paradigm. In: Proceedings of the First East-European Conference, ADBIS 1997, St. Petersburg (1997)

    Google Scholar 

  23. Kalinichenko, L.A., Stupnikov, S.A.: OWL as Yet Another Data Model to be Integrated. In: Proc. ADBIS 2011, pp. 178–189. Austrian Computer Society, Vienna (2011)

    Google Scholar 

  24. Kalinichenko, L.A., Stupnikov, S.A., Zemtsov, N.: Extensible Canonical Process Model Synthesis Applying Formal Interpretation. In: Eder, J., Haav, H.-M., Kalja, A., Penjam, J. (eds.) ADBIS 2005. LNCS, vol. 3631, pp. 183–198. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  25. Lenzerini, M.: Data Integration: a Theoretical Perspective. In: PODS, pp. 233–246 (2002)

    Google Scholar 

  26. Mugnier, M.-L.: Ontological Query Answering with Existential Rules. In: Rudolph, S., Gutierrez, C. (eds.) RR 2011. LNCS, vol. 6902, pp. 2–23. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

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Kalinichenko, L., Stupnikov, S. (2012). Synthesis of the Canonical Models for Database Integration Preserving Semantics of the Value Inventive Data Models. In: Morzy, T., Härder, T., Wrembel, R. (eds) Advances in Databases and Information Systems. ADBIS 2012. Lecture Notes in Computer Science, vol 7503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33074-2_17

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  • DOI: https://doi.org/10.1007/978-3-642-33074-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33073-5

  • Online ISBN: 978-3-642-33074-2

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