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.

scholarly journals iSemServ: A model-driven approach for developing semantic web services

2014 ◽  
Vol 52 ◽  
Author(s):  
Jabu Mtsweni ◽  
Elmarie Biermann ◽  
Laurette Pretorius
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Real World ◽  
Semantic Web Services ◽  
Suggested Approach ◽  
The Real ◽  
Model Driven ◽  
Ontology Language ◽  
Description Languages ◽  
Model Driven Approach

The benefits of incorporating Semantic Web Services in web applications are well documented. However, both the real-world implementation and adoption of these services are still rather limited in practice. This is despite the promises that extend syntactic Web services with capabilities such as automatic service discovery, composition, and execution. Some of the barriers to the real-world implementation are the complexities and tool support related to the development of Semantic Web Services. In this article, the main challenge that is addressed is the tight coupling of existing Semantic Web Services (SWS) development platforms to specific semantic description languages and service description languages, which unintentionally lead to unbending service development environments. The main contribution in this article is therefore a model-driven approach called iSemServ that exploits mature technologies, such as UML, and model-transformation techniques for simplifying and semi-automating the development of SWS using description languages of choice, such as Web Ontology Language for Services (OWL-S) and Web Application Description Language (WADL). A design science research methodology was employed in conducting the study. The suggested approach was practically implemented as an Eclipse plug-in and evaluated based on a real-world use case scenario and comparative analysis of related solutions. The evaluation results show that our proposed solution is relevant and appropriate in aiding the semi-automatic development of SWS, albeit with a number of limitations that could be addressed by extending the proposed practical solution.

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.

Dynamic, Customized Workflow Using BDI Agent and Semantic Web Service

2011 ◽  
Vol 135-136 ◽  
pp. 477-483
Author(s):  
Chih Hao Liu ◽  
Jason Jen Yen Chen
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Semantic Information ◽  
Semantic Web Services ◽  
Web Ontology Language ◽  
Semantic Web Service ◽  
Ontology Language ◽  
Bdi Agent ◽  
The World ◽  
The Web

As the Web gradually evolves into the semantic web, the World Wide Web consortium (W3C) recommends that web ontology language (OWL) be used to encode semantic information content over the Web. Semantic web is an essential infrastructure to enhance Web to obtain better integration of information and intelligent use of web resources. Moreover, a web service is annotated by web ontology language for service (OWL-S) to form a semantic web service that, however, is a static description. The OWL-S based semantic web services thus are reactively invoked by users. How to dynamically coordinate, composite, or discover the services is an important issue.

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