Ontology-Mediated Service Matching and Adaptation

  • Han-Kuan Yu
  • Tse-Ming Tsai
  • Yong-Fang Yang
  • Wen-Shi Huang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2889)


The ontology-mediated modeling of matching service requirements with providers, involves parsing a user’s intention, providing right task flow, and adapting the environment change. This research introduces a practical approach to satisfying users with high levels of service integration beyond a simple interaction. After the semantics of Web Services interfaces are registered to platform, for which a task flow is developed, three matching comparators – context-based, signature-based, and constraint-based matching – are applied to analyze the task flow that best suits the user’s intentions, parsing by plaintext input. For practical purposes, the adaptation process of task flow and ontology is modeled, and the user could approve or discard the proposed suggestions.


Matching Procedure Domain Ontology Instance Pattern Semantic Match Service Profile 
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.
    Maedche, A., Motik, B., Stojanovic, L., Studer, R., Volz, R.: Ontologies for Enterprise Knowledge Management. IEEE Intelligent Systems (2003)Google Scholar
  2. 2.
    Chandrasekaran, B., Josephson, J.R., Benjamins, V.R.: What Are Ontologies, and Why Do We Need Them? IEEE Intelligent Systems, 20–26 (January/February 1999)Google Scholar
  3. 3.
    Chen, H.-H., Bian, G.-W.: White Page Construction from Web Pages for Finding People on the Internet. Computational Linguistics and Chinese Language Processing 3(1), 75–100 (1998)Google Scholar
  4. 4.
    Sycara, K., Widoff, S., Klusch, M., Lu, J.: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace. Autonomous Agents and Multi- Agent Systems 5, 173–203 (2002)CrossRefGoogle Scholar
  5. 5.
    Li, L., Horrocks, I.: A Software Framework For matchmaking Based on Semantic Web Technology. In: Proceedings of the twelfth international conference on World Wide Web 2003, pp. 331–339 (2003)Google Scholar
  6. 6.
    Stojanovic, L., Maedche, A., Motik, B., Stojanovic, N.: User-driven Ontology Evolution Management. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, p. 285. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  7. 7.
    Stojanovic, N., Stojanovic, L.: Evolution in the ontology-based knowledge management system. In: Proceedings of the European Conference on Information Systems – ECIS 2002, Gdaňsk, Poland (2002)Google Scholar
  8. 8.
    Jacob, P.S., Rau, L.F.: Natural Language Techniques for Intelligent Information Retrieval. In: Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval (May 1988)Google Scholar
  9. 9.
    Andrews, T., et al.: Specification: Business Process Execution Language for Web Services Version 1.1, May 05 (2003),

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Han-Kuan Yu
    • 1
  • Tse-Ming Tsai
    • 1
  • Yong-Fang Yang
    • 1
  • Wen-Shi Huang
    • 1
  1. 1.Advanced e-Commerce Technology Laboratory Institute for Information IndustryTaipeiTaiwan, R.O.C.

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