Nikolaos Vesyropoulos
An approach for web service selection and dynamic composition based on linked open data
Vesyropoulos, Nikolaos; Georgiadis, Christos; Pimenidis, Elias
Authors
Christos Georgiadis
Dr Elias Pimenidis Elias.Pimenidis@uwe.ac.uk
Senior Lecturer in Computer Science
Contributors
Ngoc Thanh Nguyen
Editor
Richard Kowalczyk
Editor
Abstract
The wide adoption of the Service Oriented Architecture (SOA) paradigm has provided a means for heterogeneous systems to seamlessly interact and exchange data. Thus, enterprises and end-users have widely utilized Web Services (WS), either as stand-alone applications or as part of more complex service compositions, in order to fulfill their business needs. But, while WS offer a plethora of benefits, a significant challenge rises due to the abundance of available services that can be retrieved online. In this work, we propose a framework for the selection and dynamic composition of WS, by utilizing Linked open Data (LoD). In addition, we propose a hybrid algorithm that uses as input the user's personalized weights for non-functional characteristics and the results produced by appropriate SPARQL queries that are filtered results using a top-k approach. It then handles the ranking of alternatives based on their population. Finally, using two case studies and a dataset that describes real-world WS, we argue on the feasibility and performance of the proposed method.
Acceptance Date | Oct 20, 2017 |
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Publication Date | Sep 24, 2018 |
Deposit Date | Oct 23, 2017 |
Publicly Available Date | Sep 25, 2020 |
Journal | LNCS Transactions on Computational Collective Intelligence |
Print ISSN | 2190-9288 |
Peer Reviewed | Not Peer Reviewed |
Pages | 54-70 |
Series Title | Lecture Notes in Computer Science |
Book Title | Transactions on Computational Collective Intelligence XXX |
ISBN | 9783319998091 |
DOI | https://doi.org/10.1007/978-3-319-99810-7_3 |
Keywords | Web Services, Web Service Composition, Linked open Data, RDF, Particle Swarm Optimization |
Public URL | https://uwe-repository.worktribe.com/output/880643 |
Publisher URL | https://doi.org/10.1007/978-3-319-99810-7_3 |
Additional Information | Additional Information : The final publication is available at Springer via https://doi.org/10.1007/978-3-319-99810-7_3 |
Contract Date | Oct 23, 2017 |
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Copyright Statement
This is the author’s accepted manuscript of the article 'Vesyropoulos, N., Georgiadis, C., & Pimenidis, E. (2018). An approach for web service selection and dynamic composition based on linked open data. In N. T. Nguyen, & R. Kowalczyk (Eds.), Transactions on Computational Collective Intelligence XXX (54-70). Springer.'
DOI: https://doi.org/10.1007/978-3-319-99810-7_3.
The final published version is available here: https://link.springer.com/chapter/10.1007/978-3-319-99810-7_3
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