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Semantic-Based, Multi-Featured Ranking Algorithm for Services in Service-Oriented Computing

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Semantic-Based, Multi-Featured Ranking Algorithm for Services in Service-Oriented Computing

Alsaig, Ammar (2013) Semantic-Based, Multi-Featured Ranking Algorithm for Services in Service-Oriented Computing. Masters thesis, Concordia University.

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Abstract

Service-Oriented Computing has brought great benefits for both service requesters and service providers. The potential of this paradigm cannot be achieved without efficient discovery and selection processes. The rapid-increasing volume of services and the heterogeneity of their
features make the discovery and selection of services challenging. In this thesis we provide a novel vector-based ranking algorithm. The algorithm is both user-centric and semantic-based. It overcomes all restrictions and limitations that exist in previous vector-based ranking algorithms. We introduce fair ranking rules and apply them in our algorithm. The algorithm has been examined thoroughly with respect to its performance, accuracy and algorithmic complexity. We provide experimental results that show the significance and dominance of our solution
over the existing ones.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Alsaig, Ammar
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Software Engineering
Date:8 November 2013
Thesis Supervisor(s):Alagar, Vangalur and Mohammad, Mubarak
Keywords:Ranking, Semantic-Based, Multi-Criteria, SOC, Multi-Featured Ranking
ID Code:978006
Deposited By: AMMAR ABDULBASI AL SAIG
Deposited On:03 Jul 2014 17:52
Last Modified:18 Jan 2018 17:45
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