Domain Classification by Granular Computing used in a P2P Approach for Web Service Discovery

Author

Huang, Lican ; Liu Yong

Author_Institution

Inst. of Networking & Distrib. Comput., Zhejiang Sci-Tech Univ., Hangzhou

fYear

2008

fDate

22-24 Sept. 2008

Firstpage

405

Lastpage

409

Abstract

This paper presents a framework for Web service domain classification by granular computing. How to classify the Web services is a big issue because of fuzzy knowledge about these Web services. It is reasonable to assume that the Web services have vague boundaries of the domains they are belonged to. Here, we use roughness function measurement based on P-lower, NP-lower and P-upper,NP-upper approximations of P set (properties) to find the most suitable Web services. We also use the hierarchical algorithm to find the suitable Web service effective. The framework for Web service domain classification can be used in Web service discovery based on VIRGO domain classification P2P technologies.

Keywords

Web services; peer-to-peer computing; P2P technology; Web service discovery; Web service domain classification; fuzzy knowledge; granular computing; hierarchical algorithm; peer-to-peer computing; roughness function measurement; Access protocols; Computer industry; Computer networks; Distributed computing; Industrial control; Nonhomogeneous media; Space technology; Telecommunication traffic; Virtual groups; Web services; Domain Classification; VIRGO; granular computing; service discovery;

fLanguage

English

Publisher

ieee

Conference_Titel

Cyberworlds, 2008 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-0-7695-3381-0

Type

conf

DOI

10.1109/CW.2008.38

Filename

4741329