scholarly journals A QoS and Cognitive Parameters based Uncertainty Model for Selection of Semantic Web Services

2016 ◽  
Vol 9 (44) ◽  
Author(s):  
Aditya Khamparia ◽  
Babita Pandey
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Semantic Web Services ◽  
Uncertainty Model ◽  
Selection Of

Semantic Descriptions of Web Services

2011 ◽  
pp. 31-73
Author(s):  
Farshad Hakimpour ◽  
Suo Cong ◽  
Daniela E. Damm
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Emerging Technology ◽  
Semantic Web Services ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Technical Details ◽  
Key Features ◽  
Selection Of

This chapter introduces the emerging technology of Semantic Web services. It concentrates on two dominant specifications in this domain, namely OWL-S (Web ontology language for services) and WSMO (Web services modeling ontology). We briefly introduce Web services and Semantic Web, two main technologies underlying the Semantic Web services technology and then explain most of the key features of this technology together with simplified examples. We discuss three aspects of Semantic Web services: specifications for semantic descriptions of services, intelligent discovery and selection of services using semantic descriptions, and finally, building more complex services by composing existing ones. Our main goal in this chapter is not only to present an abstract view of this technology but also the introduction of the technical details of the two existing specifications.

A QoS Aware, Cognitive Parameters Based Model for the Selection of Semantic Web Services

2010 ◽  
pp. 320-335
Author(s):  
Sandeep Kumar ◽  
Kuldeep Kumar
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Selection Process ◽  
Service Selection ◽  
Semantic Web Services ◽  
Semantic Web Service ◽  
Web Service Selection ◽  
The One ◽  
Selection Of

Semantic Web service selection is considered as the one of the most important aspects of semantic web service composition process. The Quality of Service (QoS) and cognitive parameters can be a good basis for this selection process. In this paper, we have presented a hybrid selection model for the selection of Semantic Web services based on their QoS and cognitive parameters. The presented model provides a new approach of measuring the QoS parameters in an accurate way and provides a completely novel and formalized measurement of different cognitive parameters.

Semantic Web Services

2011 ◽  
pp. 259-280
Author(s):  
Antonio J. Roa-Valverde ◽  
Ismael Navas-Delgado ◽  
José F. Aldana-Montes
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Technology ◽  
Semantic Web Services ◽  
Application Integration ◽  
Potential Growth ◽  
Semantic Web Technology ◽  
Current Trends ◽  
Integration Challenge ◽  
Selection Of

The potential growth of applications distributed over a network and the large number of users has created the need for an infrastructure which can support increasing interaction among such users and applications. In this environment a scalable solution is needed. This problem known as application integration is addressed in this chapter, and it is combined with Semantic Web technology. After introducing the different techniques to overcome the application integration challenge current trends in Semantic Web Services are discussed and the most recent R&D projects and a selection of available tools are presented. Also discussed is the use of ESB as a suitable mechanism to deploy Semantic Web Services.

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