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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Yu, H.Q., Hong, Y. (2008). Graph Transformation for the Semantic Web: Queries and Inference Rules. In: Ehrig, H., Heckel, R., Rozenberg, G., Taentzer, G. (eds) Graph Transformations. ICGT 2008. Lecture Notes in Computer Science, vol 5214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87405-8_49
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DOI: https://doi.org/10.1007/978-3-540-87405-8_49
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