Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/36713
Title: Efficient web services selection based on QoS through a distributed parallel semantic approach
Authors: Nakamura, L. H. V.
Prado, P. F. D.
Libardi, R. M. D. O.
Nunes, L. H.
Meneguette, R. I.
Estrella, J. C.
Santana, R. H. C.
Santana, M. J.
Reiff-Marganiec, Stephan
First Published: Jul-2015
Presented at: 7th International Conference on New Technologies, Mobility and Security (NTMS), 2015, 27-29 July 2015, Paris, France
Publisher: Institute of Electrical and Electronics Engineers (IEEE), United States
Citation: New Technologies, Mobility and Security, 2015, pp. 1-5
Abstract: This paper proposes a solution to performance issues in the selection of Web services based on Quality of Service (QoS) that uses inference mechanisms from Semantic Web resources. Although several researchers highlight the benefits provided by the use of the Semantic Web techniques for searching and compose Web services with QoS, it can become costly when it depends on the approach adopted. Thus, we present a web service selection that uses QoS information in a replicated and distributed ontologies over different service providers. The results point to a significant improvement in the ontology inference process and thus makes the use of semantic resources viable in distributed systems to provide better QoS.
DOI Link: 10.1109/NTMS.2015.7266489
ISBN: 978-1-4799-8784-9
Links: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7266489
http://hdl.handle.net/2381/36713
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © 2015, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Description: Deposited with reference to the publisher's copyright and archiving policy.
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

Files in This Item:
File Description SizeFormat 
NTMS_2015.pdfPost-review (final submitted)416.58 kBAdobe PDFView/Open


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.