Graph Transformation for the Semantic Web: Queries and Inference Rules

  • Authors:
  • Hong Qing Yu;Yi Hong

  • Affiliations:
  • Department of Computer Science, University of Leicester., Leicester, United Kingdom LE1 7RH;Department of Computer Science, University of Leicester., Leicester, United Kingdom LE1 7RH

  • Venue:
  • ICGT '08 Proceedings of the 4th international conference on Graph Transformations
  • Year:
  • 2008

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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.