Title
A P2P-Based Semantic Web Services Composition Architecture
Abstract
In order to improve the scalability, reliability and stability of the semantic Web service composition system, and to achieve ontology-based semantic Web services composition efficiently, this paper presents a P2P-based Semantic Web services (P2PSWS) composition system architecture. This architecture combines the advantages of centralized and decentralized structures. It distributes the functions of UDDI to the local Web nodes, and groups Web nodes and public Web nodes. This paper designs a localized mechanism of semantic Web services in CAN-based P2P networks to ensure that each service is registered in a specific node of the public Web. The registration services of public Web nodes are divided by the area and shared by all nodes. The running result of finished prototype system shows that the P2PSWS structure helps to overcome the problem "the failure of a single node" on the traditional structure of public Web services and expands the capacity of a P2P system, and that the P2PSWS structure achieves an efficient ontology-based semantic Web services composition.
Year
DOI
Venue
2009
10.1109/ICEBE.2009.63
ICEBE
Keywords
DocType
ISBN
public web service,p2p-based semantic web services composition architecture,can-based p2p networks,p2p-based semantic web service,web services,software reliability,public web nodes,public web node,efficient ontology-based semantic web,p2p,composition architecture,semantic web service composition,web service composition,local web nodes,software architecture,semantic web service,semantic web,public web,tfidf,ontology-based semantic web services composition,p2p-based semantic web services,groups web node,peer-to-peer computing,semantic web services composition,groups web nodes,local web node,can,system architecture,web service,data mining,quality of service,terminology,computer architecture
Conference
978-0-7695-3842-6
Citations 
PageRank 
References 
3
0.39
5
Authors
5
Name
Order
Citations
PageRank
Zhu Zhengdong172.90
Hu Yahong2215.68
Lan Ronggui330.39
Weiguo Wu414834.44
Li Zengzhi531.40