Semantic Integration of Enterprise Information: Challenges and Basic Principles

  • Jingtao Zhou
  • Mingwei Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)


To overcome the challenges of EII (Enterprise Information integration), we propose SGII which is the first system undertaking research at the intersection of semantic grid and P2P data integration, exploiting their strengths in a common framework, and expanding their applicability in the area of EII. We first discuss how the P2P and semantic grid technologies can drive current EII systems to a new decentralized, flexible, scalable system based on a short survey of the state of the art of EII and its current challenges. Then, through a discussion of the fundamental formal architecture in general and its components in particular, we depict the basic integration principles from both P2P and semantic grid perspectives. The key contributions of this paper are a P2P semantic grid service oriented framework for EII, which mainly consists of three semantic grid services (data peer, semantic peer and application peer services); basic integration principles, which is compatible with OGSA-DAI infrastructure and P2P data integration paradigm; and added value over the state of the art of EII.


Data Integration Information Integration Conjunctive Query Semantic Interoperability Semantic Integration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Wang, Q., Yung, K.L., Hung, W.: A hierarchical multi-view modeling for Networked Joint Manufacturing System. Computers in Industry 53, 59–73 (2004)CrossRefGoogle Scholar
  2. 2.
    Nahm, Y.-E., Ishikawa, H.: A hybrid multi-agent system architecture for enterprise integration using computer networks. Robotics and Computer-Integrated Manufacturing 21, 217–234 (2005)CrossRefGoogle Scholar
  3. 3.
    Nimble Technology: Next-Generation Data Integration: Harnessing Data for Business Advantage (2002)Google Scholar
  4. 4.
    Bruni, P., Arnaudies, F., Bennett, A., et al.: Data Federation with IBM DB2 Information Integrator V8.1. IBM Redbook (2003)Google Scholar
  5. 5.
    Liquid Data Engineering Team: Liquid Data for WebLogic: Integrating Enterprise Data and Services. ACM SIGMOD 2004 (2004)Google Scholar
  6. 6.
    Hauch, R., Miller, A., Cardwell, R.: Information Intelligence: Metadata for Information Discovery, Access, and Integration. ACM SIGMOD 2005, 793–798 (2005)Google Scholar
  7. 7.
    Halevy, A.Y., Ashishy, N., Bitton, D., et al.: Enterprise Information Integration: Successes, Challenges and Controversies. ACM SIGMOD 2005, 778–787 (2005)Google Scholar
  8. 8.
    Sheth, A.P., Larson, J.A.: Federated database systems for managing distributed, heterogeneous, and autonomous databases. ACM Computing Surveys 22(3), 183–236 (1990)CrossRefGoogle Scholar
  9. 9.
    Choucri, N., Madnick, S.E., Moulton, A., et al.: Information Integration for Counter Terrorism Activities: The Requirement for Context Mediation. Working Paper CISL# 2003- 09 (2003)Google Scholar
  10. 10.
    BEA: Services Platform Concepts Guide, Version: 2.0.1 (2005)Google Scholar
  11. 11.
    Ives, Z.G.: Efficient Query Processing for Data Integration. Phd thesis, university of Washington (2002)Google Scholar
  12. 12.
    Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann Publishers, San Francisco (1998)Google Scholar
  13. 13.
    Oram, A. (ed.): Peer-to-Peer: Harnessing the Power of Disruptive Technologies. O’Reilly, Sebastapol (2001)Google Scholar
  14. 14.
    Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 284(5), 34–43 (2001)CrossRefGoogle Scholar
  15. 15.
    Paton, N., Atkinson, M., Dialani, V., et al.: Database access and integration services on the grid. Technical Report UKeS-2002-03, UKe-Science Programme (2002)Google Scholar
  16. 16.
    Zhuge, H.: Semantic Grid: Scientific Issues, Infrastructure, and Methodology. Communications of the ACM 48(4), 117–119 (2005)CrossRefGoogle Scholar
  17. 17.
    Zhou, J.T., Zhang, S.S., Zhao, H., Wang, M.W.: SGII: Towards Semantic Grid-based Enterprise Information Integration. In: Zhuge, H., Fox, G.C. (eds.) GCC 2005. LNCS, vol. 3795, pp. 560–565. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  18. 18.
    Ruzzi, M.: Data Integration: state of the art, new issues and research plan (2004)Google Scholar
  19. 19.
    Cruz, I.F., Xiao, H., Hsu, F.: Peer-to-Peer Semantic Integration of XML and RDF Data Sources. In: AP2PC 2004 (2004)Google Scholar
  20. 20.
    Calvanese, D., De Giacomo, G., Lenzerini, M., et al.: Hyper: a framework for peer-to-peer data integration on grids. In: ACM SIGACT SIGMOD SIGART PODS 2004 (2004)Google Scholar
  21. 21.
    Androutsellis-Theotokis, S., Spinellis, D.: A Survey of Peer-to-Peer Content Distribution Technologies. ACM Computing Surveys 36(4), 335–371 (2004)CrossRefGoogle Scholar
  22. 22.
    Foster, I., Iamnitchi, A.: On death, taxes, and the convergence of peer-to-peer and grid computing. In: Kaashoek, M.F., Stoica, I. (eds.) IPTPS 2003. LNCS, vol. 2735. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  23. 23.
    Calvanese, D., Giacomo, G.D., Lenzerini, M., Rosati, R.: Logical Foundations of Peer-To- Peer Data Integration. In: PODS 2004, pp. 241–251 (2004)Google Scholar
  24. 24.
    Halevy, A.Y., Ives, Z.G., Suciu, D., Tatarinov, I.: Schema Mediation in Peer Data Management Systems. In: ICDE 2003, p. 505 (2003)Google Scholar
  25. 25.
    Lenzerini, M.: Data Integration: A Theoretical Perspective. In: Proceedings of the 21st ACM SIGACT-SIGMOD-SIGART Symposium on PODS, pp. 233–246 (2002)Google Scholar
  26. 26.
    Zhou, J.T., Wang, M.W.: SGII: Combining P2P Data Integration Paradigm and Semantic Web Technology On Top Of OGSA-DAI. In: CCGRID 2006, pp. 93–98 (2006)Google Scholar
  27. 27.
    Perez, A.G., Benjamins, V.R.: Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods. In: proceedings of the IJCAI 1999 (1999)Google Scholar
  28. 28.
    de Bruijn, J., Lausen, H., Krummenacher, R., et al.: The Web Service Modeling Language WSML,
  29. 29.
    Kerrigan, M.: Web Services Modeling Toolkit (WSMT),
  30. 30.
  31. 31.
    de Bruijn, J., Feier, C., Keller, U., et al.: WSML Reasoning Implementation.,
  32. 32.
    Calvanese, D., De Giacomo, G., Lenzerini, M.: Answering queries using views over description logics knowledge bases. In: Proc. of the 17th Nat. Conf. AAAI, pp. 386–391 (2000)Google Scholar
  33. 33.
    Antonioletti, M., Jackson, M., Krause, A., et al.: The design and implementation of Grid database services in OGSA-DAI: Research Articles. Concurrency and Computation: Practice & Experience 17(2-4), 357–376 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jingtao Zhou
    • 1
  • Mingwei Wang
    • 1
  1. 1.The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of EducationNorthwestern Polytechnical UniversityXi’anChina

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