Paper Info
Title
Graph Transformation for the Semantic Web: Queries and Inference Rules
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.
Year
DOI
Venue
2008
10.1007/978-3-540-87405-8_49
ICGT
Keywords
Field
DocType
software systems,resource description framework,graph transformation,pervasive computing,semantic web,inference rule,context model,web ontology language
World Wide Web,Semantic Web Stack,Computer science,Web standards,Data Web,Semantic Web,OWL-S,Semantic grid,Social Semantic Web,Semantic Web Rule Language
Conference
Volume
ISSN
Citations 
5214
0302-9743
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Hong Qing Yu123716.94
Yi Hong262145.07