Paper Info
Title
Comprehensive Quality-Aware Automated Semantic Web Service Composition.
Abstract
Web service composition has been a prevailing research direction in recent years. There are two major challenges faced by researchers, semantic matchmaking and Quality of Service (QoS) optimisation. Semantic matchmaking aims to discover interoperable web services that can interact with each other by their resources described semantically. QoS optimisation aims to optimise the non-functional requirements of service users, such as minimum cost and maximum reliability. To meet the requirements of service users, both semantic matchmaking quality and QoS should be considered simultaneously. Most existing works on web service composition, however, focus only on one of these two aspects. Therefore, we propose a comprehensive quality model that takes both semantic matchmaking quality and QoS into account with the aim of achieving a more desirable balance of both sides. Further, we develop a PSO-based service composition approach with explicit support for the proposed comprehensive quality model. We also conduct experiments to explore the effectiveness of our PSO-based approach and the desirable balance achieved by using our comprehensive quality model.
Year
Venue
Field
2017
Australasian Conference on Artificial Intelligence
World Wide Web,Software engineering,Semantic Web Stack,Computer science,Data Web,Semantic Web,Semantic analytics,Web modeling,Semantic grid,Social Semantic Web,Web service
DocType
Citations 
PageRank 
Conference
4
0.43
References 
Authors
10
4
Name
Order
Citations
PageRank
Chen Wang125315.83
Hui Ma212823.06
Aaron Chen372.16
Sven Hartmann4629.60