Semantic Web-Based Digital Content Management in Grid Computing

Abstract

Grid computing has been noticed as a solution for digital content management. But, existing grid computing-based digital content management systems cannot meet complex and detailed requirements of a grid user due to the simple search mechanism base on few keywords. Therefore, this paper constructs a digital content ontology that represents digital content information. And, this paper proposes a semantic Web-based digital content management system. In the system, a semantic Web agent analyzes user requirements and infers a proper digital content from the digital content ontology. And, the system selects a grid resource with the cheapest and fastest data service among grid resources which can provide the inferred digital content. Digital content data is transferred from the selected grid resource to the grid user through a local grid resource agent.