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Semantic Web Services in Action - Enterprise Information Integration

  • Parachuri Deepti
  • Bijoy Majumdar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4749)

Abstract

With the development and maturity of Service Oriented Architectures (SOA) to support business-to-business transactions, enterprises are using Web services to expose the public functionalities associated with internal systems and business processes. Semantic Web service infrastructure achieves automatic data integration to enable enterprises to collaborate and compete effectively in a dynamic global environment. In this paper, we deal with two important aspects of enterprise information integration, namely process integration and data convergence. This paper talks about solution strategies for global enterprise system which provides unified information and agile solution with greater ease and simplicity. Today’s Web data lacks machine understandable semantics making it impossible to achieve data integration with the Web service. Hence, the semantic Web services in action to overcome the limitations of information finding, information extracting, information representing, information interpreting and information maintaining. This paper takes you through a case study simulating semantic Web paradigm (and semantic Web services) over a leasing business system. It also portrays the various advantages and explains the hurdles in accepting the semantic Web technology.

Keywords

Semantic Web Web Services RDF OWL OWL-S Agent Technologies SOA Information Integration Semantic Web Services 

References

  1. 1.
    Sheth, A., Larson, J.: Federated database systems for managing distributed, heterogeneous and autonomous databases. ACM Computing Surveys 22(3), 183–236 (1990)CrossRefGoogle Scholar
  2. 2.
    Jakobovits, R.: Integrating Autonomous Heterogeneous Information Sources (1997)Google Scholar
  3. 3.
    Raman, V., Narang, I., Crone, C., Haas, L., Malaika, S., Mukai, T., Wolfson, D., Baru, C.: Data Access and Management Services on Grid (2002)Google Scholar
  4. 4.
    Franconi, E.: Introduction to Data WarehousingGoogle Scholar
  5. 5.
    Newcomer, E., Lomow, G.: Understanding SOA with Web Services. Addison Wesley, Reading (2004)Google Scholar
  6. 6.
    Papazoglou, M.P.: Service-oriented computing: concepts, characteristics and directions. In: Proceedings of the Fourth International Conference on Web Information Systems Engineering, pp. 3–12 (December 2003)Google Scholar
  7. 7.
    Birman, K.: Can Web Services Scale Up? IEEE computer (October 2005)Google Scholar
  8. 8.
    Wang, H., Huang, J.Z., Qu, Y., Xie, J.: Web Services: problem and future directions. Journal of Web Semantics 1(3), 309–320 (2004)Google Scholar
  9. 9.
    Uschold, M., Gruninger, M.: Ontologies: Principles, methods and applications. Knowledge Engineering Review 11(2), 93–115 (1996)CrossRefGoogle Scholar
  10. 10.
    Stuckenschmidt, H., van Harmelen, F.: Information Sharing on the Semantic Web. In: Advanced Information and Knowledge Processing, Springer, Heidelberg (2005)Google Scholar
  11. 11.
    Laliwala, Z., Sorathia, V., Chaudhary, S.: Semantic and Rule Based Event-driven Services-Oriented Agricultural Recommendation System. In: ICDCSW 2006. Proceedings of the 26th IEEE International Conference on Distributed Computing Systems Workshops, IEEE Computer Society Press, Los Alamitos (2006)Google Scholar
  12. 12.
    Kabbaj, M.Y.: Strategy and Policy Prospects for Semantic Web Services Adoption in US online travel industry. MS thesis Submitted to Masters of Science in technology and policy at MITGoogle Scholar
  13. 13.
    Krishna, M.: Retaining Semantics in Relational Databases by Mapping them to RDF. In: IEEE/WIC/ACM (2006)Google Scholar
  14. 14.
    Davis, M.: Semantic Wave: Executive guide to billion dollorsGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Parachuri Deepti
    • 1
  • Bijoy Majumdar
    • 1
  1. 1.Setlabs, Infosys Technologies Ltd., Bangalore 

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