A Knowledge Management Architecture for 3D Shapes and Applications

  • Marios Pitikakis
  • Catherine Houstis
  • George Vasilakis
  • Manolis Vavalis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3746)


In this paper, we present a knowledge-based approach to 3D shape management and service composition, exploiting and extending Web Services and Semantic Web technologies. Semantic Web technology fosters semantic interoperability, while Web Services technology is utilized to construct loosely coupled components, which, combined with workflow technology enrich the processing capabilities needed for e-Science and e-Engineering. We propose an open system architecture for the formalization, processing and sharing of shape knowledge in order to efficiently support key activities: from shape creation, retrieval, post-processing and composition, to the categorization and transparent invocation of algorithms, to the automated construction and execution of complex process flows, to capturing metadata for accurate searching of shape and algorithmic resources. Two representative scenarios have been chosen, 3D shape geometry processing and 3D product development, which will demonstrate the potential of the platform in terms of establishing novel, knowledge-based and semantically enriched solutions dealing with the automation of the knowledge lifecycle.


Service Composition Product Development Process Shape Processing Service Ontology Open System Architecture 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Bussler, C., Fensel, D., Maedche, A.: A conceptual architecture for semantic web enabled web services. ACM SIGMOD Record 31(4) (2002)Google Scholar
  2. 2.
    Fensel, D., Bussler, C.: The Web Service Modeling Framework WSMF. Electronic Commerce: Research and Applications 1, 113–137 (2002)CrossRefGoogle Scholar
  3. 3.
    Moran, M., Mocan, A.: WSMX - An Architecture for Semantic Web Service Discovery, Mediation and Invocation. In: Proceedings of the 3rd International Semantic Web Conference (ISWC 2004), Hiroshima, Japan (2004)Google Scholar
  4. 4.
    Moran, M., Zaremba, M., Mocan, A., Bussler, C.: Using WSMX to bind Requester & Provider at Runtime when Executing Semantic Web Services. In: Proceedings of the 1st WSMO Implementation Workshop, Frankfurt, Germany (2004)Google Scholar
  5. 5.
    DIP (Data, Information and Process Integration with Semantic Web Services),
  6. 6.
    SWSI (Semantic Web Services Initiative),
  7. 7.
  8. 8.
  9. 9.
    Curbera, F., Goland, Y., Klein, J., Leymann, F., Roller, D., Thatte, S., Weerawarana, S.: Business Process Execution Language for Web Services, Version 1.0.,
  10. 10.
    Sollazzo, T., Handschuh, S., Staab, S., Frank, M.: Semantic Web Service Architecture -Evolving Web Service Standards toward the Semantic Web. In: Proceedings of the 15th Interntional FLAIRS Conference, Pensacola, Florida, May 16-18, AAAI Press, Menlo Park (2002)Google Scholar
  11. 11.
    UDDI. The UDDI technical white paper (2000),
  12. 12.
    Chinnici, R., Gudgin, M., Moreau, J., Weerawarana, S.: Web Services Description Language (WSDL) 1.2, W3C Working Draft (2002),
  13. 13.
  14. 14.
    OWL-S Coalition: OWL-S 1.0 Release (2003),
  15. 15.
  16. 16.
    Guarino, N., Welty, C.: Evaluating ontological decisions with OntoClean. Communications of the ACM 45(2) (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Marios Pitikakis
    • 1
    • 2
  • Catherine Houstis
    • 1
    • 2
  • George Vasilakis
    • 1
    • 2
  • Manolis Vavalis
    • 2
  1. 1.Department of Computer and Communications EngineeringUniversity of ThessalyVolosGreece
  2. 2.Center for Resaerch and Technology HellasInformatics and Telematics InstituteThermi-ThessalonikiGreece

Personalised recommendations