Fuzzy Matchmaking for Web Services

Authors:
Kuo-Ming Chao;Muhammad Younas;Chi-Chun Lo;Tao-Hsin Tan
Affiliations:
Coventry University;Oxford Brookes University;National Chiao Tung University;National Chiao Tung University
Venue:
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
Year:
2005

Citing 0
Cited 11

Consumer-centric QoS-aware selection of web services

Journal of Computer and System Sciences
Web service workflow selection using system and network QoS constraints

International Journal of Web Engineering and Technology
A hybrid approach to semantic web services matchmaking

International Journal of Approximate Reasoning
A tree-based approach to matchmaking algorithms for resource discovery

International Journal of Network Management
QoS-aware web services selection with intuitionistic fuzzy set under consumer's vague perception

Expert Systems with Applications: An International Journal
On optimal decision for QoS-aware composite service selection

Expert Systems with Applications: An International Journal
Reaching consensus: A moderated fuzzy web services discovery method

Information and Software Technology
Multi-group QoS consensus for web services

Journal of Computer and System Sciences
An evidence-based scheme for web service selection

Information Technology and Management
A fuzzy matchmaking approach for Semantic Web Services with application to collaborative material selection

Computers in Industry
A novel non-functional matchmaking approach between fuzzy user queries and real world web services based on rough sets

Future Generation Computer Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

To fully realise the potential of web services it is necessary to develop viable dynamic discovery and composition techniques. Matchmaking is considered as one of the crucial factors to ensure dynamic discovery and composition of web services. Current matchmaking methods are inadequate given their inability to abstract and classify the underlying data of web services. Instead, they classify web services based on the capability of services, software signatures, and so on. This paper proposes a novel framework which exploits fuzzy logic in order to abstract and classify the underlying data of web services as fuzzy terms and rules. The aim is to increase the efficiency of the discovery of web services and to allow imprecise or vague terms in the search query.