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

Georgiadis, Christos K.; Vesyropoulos, Nikolaos; Georgiadis, Christos; Pimenidis, Elias

Abstract

© Springer International Publishing Switzerland 2016. 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.

Citation

Georgiadis, C. K., Vesyropoulos, N., Georgiadis, C., & Pimenidis, E. (2016). Utilizing linked open data for web service selection and composition to support e-commerce transactions. Lecture Notes in Artificial Intelligence, 9875 LNCS, 533-541. https://doi.org/10.1007/978-3-319-45243-2_49

• Journal Article Type: Conference Paper
• Conference Name: 8th International Conference on Computational Collective Intelligence (ICCCI 2016)
• Conference Location: Halkidiki, Greece
• Start Date: Sep 28, 2016
• End Date: Sep 30, 2016
• Acceptance Date: Jun 2, 2016
• Publication Date: Jan 1, 2016
• Deposit Date: Jun 6, 2016
• Publicly Available Date: Nov 16, 2016
• Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Print ISSN: 0302-9743
• Electronic ISSN: 1611-3349
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 9875 LNCS
• 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
• DOI: https://doi.org/10.1007/978-3-319-45243-2_49
• Keywords: web services, linked open data, RDF
• Public URL: https://uwe-repository.worktribe.com/output/924150
• 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)