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Ontology-Driven Integration of Scientific Repositories

  • Vassilis Christophides
  • Catherine Houstis
  • Spyros Lalis
  • Hariklia Tsalapata
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1649)

Abstract

There is an increasing need to provide scientists and researchers as well as policy makers and the general public with valueadded services integrating information spread over distributed heterogeneous repositories. In order to incorporate available data sets and scientific programs into a powerful information and computational system it is mandatory to identify and exploit their semantic relationship. For this purpose, we advocate an ontological framework that captures these relations and allows the inference of valid combinations of scientific resources for the production of new data. We show how a knowledge base that commits to an ontology can be used to generate workflows on demand for the multiplicity of resources known to the system. To validate our ideas, we are currently developing a prototype for the area of Coastal Zone Management.

Keywords

Coastal Zone Management Ocean Circulation Model Scientific Resource Knowledge Base System Metadata Description 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Vassilis Christophides
    • 1
    • 2
  • Catherine Houstis
    • 1
    • 2
  • Spyros Lalis
    • 1
    • 2
  • Hariklia Tsalapata
    • 2
  1. 1.Department of Computer ScienceUniversity of CreteHeraklionGreece
  2. 2.Institute of Computer Science, Foundation for Research and Technology - HellasHeraklionGreece

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