RDF Schema Based Ubiquitous Healthcare Service Composition

  • Wookey Lee
  • Mye M. Sohn
  • Ji-Hong Kim
  • Byung-Hyun Ha
  • Suk-Ho Kang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3590)


We suggest a service framework and algorithms of provisioning healthcare services in a ubiquitous computing environment. In order to meet customers’ need we translate the need into relevant goal and repeatedly refine the goal into sub-goals through commonsense knowledge until there are appropriate services for sub-goals and after, employ the services. The results of this research enable integration and interconnection of devices, applications, and functions within the healthcare services. By RDFSs and their interoperability, a ubiquitous healthcare service composition is achieved, and the hidden semantic distances can be measured dynamically.


Resource Description Framework Service Composition Insurance Agent Resource Description Framework Data Ubiquitous Computing Environment 
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.
    Aversano, L., Canfora, G., Ciampi, A.: An algorithm for Web service discovery through their composition. In: Proc. IEEE ICWS, pp. 332–339 (2004)Google Scholar
  2. 2.
    Choi, K.-S., Kim, J.-H., Miyazaki, M., Goto, J., Kim, Y.-B.: Question-Answering Based on Virtually Integrated Lexical Knowledge Base. In: Proc. Int’l Workshop on Information Retrieval with Asian Languages, pp. 168–175 (2003)Google Scholar
  3. 3.
    Cooper, M.C.: Semantic Distance Measures. Computational Intelligence 16, 79–94 (2000)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Fujii, K., Suda, T.: Dynamic Service Composition Using Semantic Information. In: Proc. Int’l Conf. Service Oriented Computing, pp. 39–48 (2004)Google Scholar
  5. 5.
    Alesso, H.P., Craig, F.S.: Developing Semantic Web Services. A.K. Peters, Ltd (2004)Google Scholar
  6. 6.
    Shin, H., Koehler, S.: A Knowledge-Based Fact Database: Acquisition to Application. In: Mizoguchi, R., Slaney, J.K. (eds.) PRICAI 2000. LNCS, vol. 1886, p. 828. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  7. 7.
    Lee, W., Kim, J.: Structuring the Web to Cope with Dynamic Changes. In: Proc. Int’l Conf. Web Services, Orland, Florida (2005)Google Scholar
  8. 8.
    Weiser, M.: The Computer for 21st Century. Scientific American 265, 94–104 (1991)CrossRefGoogle Scholar
  9. 9.
    Klein, M., Chrysanthos, D.: A Knowledge-based Approach to Handling Exception in Workflow Systems. Computer Supported Cooperative Work 9, 399–412 (2000)CrossRefGoogle Scholar
  10. 10.
    Antonius, G., Harman, v.F.: A Semantic Web Primer. The MIT Press, Cambridge (2004)Google Scholar
  11. 11.
    W3C: RDF/XML Syntax Specification(Revised) (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Wookey Lee
    • 1
  • Mye M. Sohn
    • 2
  • Ji-Hong Kim
    • 3
  • Byung-Hyun Ha
    • 3
  • Suk-Ho Kang
    • 3
  1. 1.Department of Computer ScienceSungkyul University 
  2. 2.Department of Industrial EngineeringSungKyunKwan University 
  3. 3.Department of Industrial EngineeringSeoul National University 

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