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Graph Transformation for the Semantic Web: Queries and Inference Rules

Yu, Hong Qing and Hong, Yi (2008). Graph Transformation for the Semantic Web: Queries and Inference Rules. In: Graph Transformations, pp. 511–513.

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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.

Item Type: Conference Item
Copyright Holders: 2008 Springer-Verlag
ISSN: 1611-3349
Extra Information: ISBN: 978-3-540-87404-1
Series: Lecture Notes in Computer Science Vol 5214 p511-513
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 28653
Depositing User: Kay Dave
Date Deposited: 16 May 2011 09:59
Last Modified: 03 Apr 2016 11:40
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