Research on Services Matching and Ranking Based on Fuzzy QoS Ontology

Author

HongKang, Zhu ; Xueli, Yu ; GuangPing, Zhuo ; Kun, Hu

Author_Institution

Sch. of Comput. Sci. & Technol., TaiYuan Univ. of Technol., Taiyuan, China

fYear

2010

fDate

26-28 Sept. 2010

Firstpage

579

Lastpage

582

Abstract

Services discovery based on the non-functional QoS service features has received increasing attention by service-oriented computing research community. In order to implement QoS description provided the express of the uncertain knowledge, in this paper, a fuzzy QoS ontology is proposed firstly. Then, services match based on fuzzy QoS description can be transformed to reasoning in Fuzzy description logic, and the rationality of this method be illustrated through an example. At last, a novel rank algorithm for the match results is proposed.

Keywords

Web services; fuzzy logic; fuzzy reasoning; ontologies (artificial intelligence); quality of service; fuzzy QoS ontology; fuzzy description logic; nonfunctional QoS service features; service-oriented computing research community; services discovery; services matching; Cognition; Indexes; Ontologies; Quality of service; Semantic Web; Semantics; Web services; Fuzzy Description Logic (FDL); QoS ontology; Web services; services discovery;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Aspects of Social Networks (CASoN), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-8785-1

Type

conf

DOI

10.1109/CASoN.2010.134

Filename

5636684