Semantic Web Services with Web Ontology Language (OWL-S) - Specification of Agent-Services for DARPA Agent Markup Language (DAML)

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.

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Process model-based atomic service discovery and composition of composite semantic web services using web ontology language for services (OWL-S)

Enterprise Information Systems ◽

10.1080/17517575.2011.654265 ◽

2012 ◽

Vol 6 (4) ◽

pp. 445-471 ◽

Cited By ~ 33

Author(s):

D. Paulraj ◽

S. Swamynathan ◽

M. Madhaiyan

Keyword(s):

Web Services ◽

Semantic Web ◽

Process Model ◽

Service Discovery ◽

Semantic Web Services ◽

Web Ontology Language ◽

Model Based ◽

Ontology Language

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

South African Computer Journal ◽

10.18489/sacj.v52i0.185 ◽

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.

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Dynamic, Customized Workflow Using BDI Agent and Semantic Web Service

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.135-136.477 ◽

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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A Tool for Transforming Semantic Web Rule Language to SPARQL Infererecing Notation

International Journal on Semantic Web and Information Systems ◽

10.4018/ijswis.2020010105 ◽

2020 ◽

Vol 16 (1) ◽

pp. 87-115

Author(s):

Nick Bassiliades

Keyword(s):

Semantic Web ◽

Query Language ◽

Markup Language ◽

Web Ontology Language ◽

Rule Based ◽

Horn Logic ◽

Industry Standard ◽

Ontology Language ◽

Widespread Acceptance ◽

Semantic Web Rule Language

Semantic web rule language (SWRL) combines web ontology language (OWL) ontologies with horn logic rules of the rule markup language (RuleML) family. Being supported by ontology editors, rule engines and ontology reasoners, it has become a very popular choice for developing rule-based applications on top of ontologies. However, SWRL is probably not going to become a WWW Consortium standard, prohibiting industrial acceptance. On the other hand, SPARQL Inferencing Notation (SPIN) has become a de-facto industry standard to represent SPARQL rules and constraints on semantic web models, building on the widespread acceptance of SPARQL (SPARQL Protocol and RDF Query Language). In this article, we argue that the life of existing SWRL rule-based ontology applications can be prolonged by converting them to SPIN. To this end, we have developed the SWRL2SPIN tool in Prolog that transforms SWRL rules into SPIN rules, considering the object-orientation of SPIN, i.e. linking rules to the appropriate ontology classes and optimizing them, as derived by analysing the rule conditions.

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