research-article

A fuzzy framework for efficient user-centric Web service selection

Authors:

Zahira Chouiref,

Abdelkader Belkhir,

Karim Benouaret,

Allel HadjaliAuthors Info & Claims

Applied Soft Computing, Volume 41, Issue C

Pages 51 - 65

https://doi.org/10.1016/j.asoc.2015.12.011

Published: 01 April 2016 Publication History

Abstract

Graphical abstractDisplay Omitted HighlightsThis work falls within Web service query optimization and make use of explicit/implicit preference.An appropriate inference mechanism, borrowed from the fuzzy/approximate reasoning field, is used.A priority-based method is introduced to aggregate the elementary similarities.The top-k results are provided with user.A set of experiments is done to show the feasibility and the effectiveness of our proposal. With the development of Web technologies and the increasing usage of Internet, more and more Web Services (WS) are deployed over Internet. Therefore, there will be a large number of candidate services for fulfilling a desired task. In the last decade, several WS selection approaches are proposed to cope with this challenge. In sharp contrast to the existing WS selection approaches that focus only on user-specified preferences, in this paper, we propose a flexible and effective WS selection framework, which gives users an adequate way to express their preferences using linguistic terms, and enhance the WS selection by leveraging their contexts and profiles. The satisfaction of the candidate WS is expressed by an objective score that takes into consideration no only the user-specified preferences, but also additional preferences extracted from both his/her context and profile using fuzzy inference rules, so as to improve the effectiveness of the selection. We then introduce an effective strategy that allows for priority between the two kinds of preferences, for ranking candidate services. Experimental evaluation on a real case study demonstrates the effectiveness of our proposed strategy.

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Cited By

Kou HXu JQi L(2023)Diversity-driven automated web API recommendation based on implicit requirementsApplied Soft Computing10.1016/j.asoc.2023.110137136:COnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.asoc.2023.110137
Garba SMohamad RSaadon N(2022)Self-adaptive mobile web service discovery framework for Dynamic Mobile EnvironmentJournal of Systems and Software10.1016/j.jss.2021.111120184:COnline publication date: 3-Jan-2022
https://dl.acm.org/doi/10.1016/j.jss.2021.111120
Daaji MOuni AGammoudi MBouktif SMkaouer M(2021)Multi-criteria Web Services Selection: Balancing the Quality of Design and Quality of ServiceACM Transactions on Internet Technology10.1145/344638822:1(1-31)Online publication date: 28-Sep-2021
https://dl.acm.org/doi/10.1145/3446388
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Index Terms

A fuzzy framework for efficient user-centric Web service selection
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic
2. Information systems
  1. Information retrieval

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Applied Soft Computing

Applied Soft Computing Volume 41, Issue C

April 2016

532 pages

ISSN:1568-4946

Issue’s Table of Contents

Copyright © Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 April 2016

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Cited By

Kou HXu JQi L(2023)Diversity-driven automated web API recommendation based on implicit requirementsApplied Soft Computing10.1016/j.asoc.2023.110137136:COnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.asoc.2023.110137
Garba SMohamad RSaadon N(2022)Self-adaptive mobile web service discovery framework for Dynamic Mobile EnvironmentJournal of Systems and Software10.1016/j.jss.2021.111120184:COnline publication date: 3-Jan-2022
https://dl.acm.org/doi/10.1016/j.jss.2021.111120
Daaji MOuni AGammoudi MBouktif SMkaouer M(2021)Multi-criteria Web Services Selection: Balancing the Quality of Design and Quality of ServiceACM Transactions on Internet Technology10.1145/344638822:1(1-31)Online publication date: 28-Sep-2021
https://dl.acm.org/doi/10.1145/3446388
Kalibatiene DMiliauskaitė J(2021)A dynamic fuzzification approach for interval type-2 membership function development: case study for QoS planningSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-021-05899-825:16(11269-11287)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s00500-021-05899-8
Hosseinzadeh MHama HGhafour MMasdari MAhmed OKhezri H(2020)Service Selection Using Multi-criteria Decision Making: A Comprehensive OverviewJournal of Network and Systems Management10.1007/s10922-020-09553-w28:4(1639-1693)Online publication date: 9-Jul-2020
https://dl.acm.org/doi/10.1007/s10922-020-09553-w
Abdelhak EFeth-Allah HMohammed M(2019)QoS Uncertainty Handling for an Efficient Web Service SelectionProceedings of the 9th International Conference on Information Systems and Technologies10.1145/3361570.3361592(1-7)Online publication date: 24-Mar-2019
https://dl.acm.org/doi/10.1145/3361570.3361592
(2017)Integrated quality of user experience and quality of service approach to service selection in internet of servicesInternational Journal of Grid and Utility Computing10.1504/IJGUC.2017.0882578:4(282-298)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJGUC.2017.088257

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