QoS ontology for service selection and reuse

Web service technologies become popular in software development in all sectors. Variety services related standards are defined but they still have limitations to represent the services such as the service registry does not support the Quality of Service (QoS) properties, web service description lang...

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Vydáno v:Journal of intelligent manufacturing Ročník 27; číslo 1; s. 187 - 199
Hlavní autoři: Chhun, Sophea, Moalla, Néjib, Ouzrout, Yacine
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.02.2016
Springer Nature B.V
Springer Verlag (Germany)
Témata:
Algorithms
Application programming interface
Business and Management
Business process re-engineering
Computer Aided Engineering
Computer Science
Control
Dynamic programming
Engineering
Internet service providers
Keywords
Knowledge representation
Language
Machines
Manufacturing
Mechatronics
Natural language
Ontology
Processes
Production
Quality of service
Representations
Robotics
Semantic web
Semantics
Software
Software development
Stores
Studies
Transportation services
Web services
Service selection
Tracking data
Ontology
QoS
Service composition
Service discovery
Business process re-engineering
Semantic web service
Service Selection
ISSN:0956-5515, 1572-8145
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Popis
Shrnutí:Web service technologies become popular in software development in all sectors. Variety services related standards are defined but they still have limitations to represent the services such as the service registry does not support the Quality of Service (QoS) properties, web service description language does not allow specifying the QoS properties and there is no common ontology’s structure to store services. Our research aims to enhance the representation of services to assist the service selection and composition process in order to reduce the development costs. The existing resources are analyzed to define a web service ontology (WSOnto). Furthermore, a service selection algorithm is proposed to validate the proposed WSOnto. It considers the multiple criteria of inputs such as: context, functional and non-functional properties of services. The WSOnto and a service selection algorithm are studied to assist the re-engineering of business processes from users’ designed business processes.
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ISSN:0956-5515
1572-8145
DOI:10.1007/s10845-013-0855-6