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Utilizing linked open data for web service selection and composition to support e-commerce transactions

Vesyropoulos, Nikolaos; Georgiadis, Christos; Pimenidis, Elias

Authors

Nikolaos Vesyropoulos

Christos Georgiadis



Contributors

Ngoc-Thanh Nguyen
Editor

Lazaros Iliadis
Editor

Yannis Manolopoulos
Editor

Bogdan Trawinski
Editor

Abstract

Web Services (WS) have emerged during the past decades as a means for loosely coupled distributed systems to interact and communicate. Nevertheless, the abundance of services that can be retrieved online, often providing similar functionalities, can raise questions regarding the selection of the optimal service to be included in a value added composition. We propose a framework for the selection and composition of WS utilizing Linked open Data (LoD). The proposed method is based on RDF triples describing the functional and non-functional characteristics of WS. We aim at the optimal composition of services as a result of specific SPARQL queries and personalized weights for QoS criteria. Finally we utilize an approach based on the particle swarm optimization (PSO) method for the ranking of returned services.

Start Date Sep 28, 2016
Publication Date Jan 1, 2016
Print ISSN 0302-9743
Peer Reviewed Peer Reviewed
Volume 9875
Pages 533-541
Series Title Lecture Notes in Computer Science
Book Title Computational Collective Intelligence: 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part I
ISBN 9783319452425
Institution Citation Vesyropoulos, N., Georgiadis, C., & Pimenidis, E. (2016). Utilizing linked open data for web service selection and composition to support e-commerce transactions. In L. Iliadis, Y. Manolopoulos, B. Trawinski, & N. Nguyen (Eds.), Computational Collective Intelligence: 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part I, 533-541. Springer. https://doi.org/10.1007/978-3-319-45243-2_49
DOI https://doi.org/10.1007/978-3-319-45243-2_49
Keywords web services, linked open data, RDF
Publisher URL http://dx.doi.org/10.1007/978-3-319-45243-2_49
Additional Information Additional Information : The final publication is available at http://dx.doi.org/10.1007/978-3-319-45243-2_49
Title of Conference or Conference Proceedings : 8th International Conference on Computational Collective Intelligence (ICCCI 2016)

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