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.

DOI: https://doi.org/10.1007/978-3-540-87405-8_49

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.

Viewing alternatives

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions

Item Actions

Export

About

Recommendations