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Graph Transformation for the Semantic Web: Queries and Inference Rules

  • Hong Qing Yu
  • Yi Hong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5214)

Abstract

Pervasive computing becomes an important characteristic of today’s IT systems. In particular, context awareness is a core technology to enhance pervasive computing functionalities [1]. In recent years, Semantic Web (SW) is widely used in the development of mainstream software systems; it becomes increasingly important and feasible for improving conventional web data sharing process by providing machine-readable information and metadata expressed in various semantic web technologies such as Web Ontology Language (OWL) and Resource Description Framework (RDF). SW technology itself has already indicated the solutions to context modeling and sharing. However, the context querying and inferencing methodologies are still missing which leads to 2 major challenges.

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References

  1. 1.
    El-Sayed, A.R., Black, J.P.: Semantic-Based Context-Aware Service Discovery in Pervasive-Computing Environments. In: Proc. of IEEE Workshop on Service Integration in Pervasive Environments (2006)Google Scholar
  2. 2.
    Ehrig, H., Engels, G., Kreowski, H.J., Rozenberg, G.: Handbook of Graph Grammars and Computing by Graph Transformation: Applications, Languages and Tools. World Scientific Publishing Co. Ptc. Ltd (1997) ISBN: 981-02-4020-1Google Scholar
  3. 3.
    Braatz, B., Brandt, C.: Graph Transformations for the Resource Description Framework. Journal of ECEASST (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Hong Qing Yu
    • 1
  • Yi Hong
    • 1
  1. 1.Department of Computer ScienceUniversity of Leicester.LeicesterUnited Kingdom

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