An Algorithm for Resource Discovery Based on Metadata Semantic Matching in Semantic Grid Environment

Author

Liu, Zhen ; Huang, Hongbin ; Deng, Su ; Luo, Xueshan

Author_Institution

Sch. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha

fYear

2005

fDate

27-29 Nov. 2005

Firstpage

58

Lastpage

58

Abstract

In semantic grid environment, Grid resources are distributed in different peers. Ontology is used to describe resource metadata and semantic contents. Different peers maybe use different ontology to describe resources based on there own domain view. How to discover and match these resources is a hard work. In this paper, a synthetic approach of resource matching is proposed. It combines exact matching of core layer metadata and fuzzy matching of extensional layer metadata. At the same time, it takes into account of semantic matching and resource instance feature matching synthetically. This approach will improve flexibility and accuracy of resource discovery in decentralized environment.

Keywords

grid computing; meta data; ontologies (artificial intelligence); resource allocation; semantic Web; decentralized environment; fuzzy matching; metadata; ontology; resource discovery; semantic grid environment; semantic matching; Computer architecture; Distributed computing; Environmental management; Information management; Integrated circuit modeling; Large-scale systems; Management information systems; Ontologies; Peer to peer computing; Resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantics, Knowledge and Grid, 2005. SKG '05. First International Conference on

Conference_Location

Beijing

Print_ISBN

0-7695-2534-2

Electronic_ISBN

0-7695-2534-2

Type

conf

DOI

10.1109/SKG.2005.35

Filename

4125846