A semantic web services architecture

The Semantic Web Services Initiative Architecture (SWSA) describes the overall process of semantic service execution in three phases: discovery, engagement and enactment. To accomplish the specified requirements of these phases, it defines a conceptual model which is based on semantic service agents that provide and consume semantic web services and includes architectural and protocol abstractions. In this paper, an MAS infrastructure is defined which fulfills fundamental requirements of SWSA’s conceptual model including all its sub-processes. Based on this infrastructure, requirements of a planner module is identified and has been implemented. The developed planner has the capability of executing plans consisting of special tasks for semantic service agents in a way that is described in SWSA. These special tasks are predefined to accomplish the requirements of SWSA’s sub-processes and they can be reused in real plans of semantic service agents both as is and as specialized according to domain requirements.

hakimpour.com

2009

Abstract. The paper presents the main results of the IST FP6 INFRAWEBS project. The project has developed an easy and effective way of constructing and using semantic descriptions for existing and new Web services. INFRAWEBS has adopted the WSMO (Web Service Modeling Ontology) and WSML (Web Service Modeling Language) specifications and has imposed no additional requirements to them. Therefore, the advanced software components developed during the project are of interest to the whole WSMO community. INFRAWEBS offers a SOA framework – INFRAWEBS Integrated Framework (IIF), based on the ESB integration paradigm, which can be easily used by different groups of users (application providers, designers of SWS, etc.). The IIF enables integration of components of different technologies. Furthermore, it can be considered as one of the first frameworks for semantic service engineering that covers the whole SWS life-cycle and allows for creation of complex, semantically-enabled applications.

iaeme

Semantic web technology has drawn a considerable attention of the researchers in the field of distributed information systems, artificial intelligence and so on. Researchers are taking interest to make use of semantic web technology as a central component of their software constructions. This paper gives an overview of Semantic web and web services, semantic web technologies, semantic web architecture, semantic web approaches and key challenges

International Journal, 2011

Abstract-OWL-S, IRS, WSMF are the prominent field that are the major part for Semantic Web Services. IRS-III is the first WSMO Compliant and implemented structure to support Semantic Web Services.IRS-III is the extension of previous version of IRS-II and supporting WSMO ...

2007

Abstract Semantic Web services (SWS) has been a vigorous technology research area for about six years. A great deal of innovative work has been done, and a great deal remains. Several large research initiatives have been producing substantial bodies of technology, which are gradually maturing. SOA vendors are looking seriously at semantic technologies and have made initial commitments to supporting selected approaches. In the world of standards, numerous activities have reflected the strong interest in this work.

… Technology, Ontologies, and …, 2006

Abstract. Although the Internet provides a world wide infrastructure for information provision and communication, the initial web technology stack has substantial draw-backs with regard to automated web content processing. Consequently, the Semantic Web is envisioned as the next ...

International Journal of Web and Grid Services, 2005

Several extensions of the Web Services Framework have been proposed. The combination with Semantic Web technologies introduces a notion of semantics, which can enhance scalability through automation of service development and deployment. Ontology technology-the core of the Semantic Web-can be the central building block of this endeavour. We present a conceptual framework for ontology-based Web service development and deployment. We show how ontologies can integrate models, languages, infrastructure, and activities within this framework to support reuse and composition of semantic Web services.

Intelligent Systems, IEEE, 2007

In part 2 of this Trends & Controversies installment, we continue exploring the state of the art, current practices, and future directions for Semantic Web services. SWS aims to bring Semantic Web technology-for representing, sharing, and reasoning about knowledge-to bear in Web service contexts. The objective is to enable a fuller, more flexible automation of service provision and use and the construction of more powerful tools and methodologies for working with services.

Handbook of Semantic …, 2010

In recent years service-orientation has increasingly been adopted as one of the main approaches for developing complex distributed systems out of reusable components called services. Realizing the potential benefits of this software engineering approach requires semi-automated and automated techniques and tools for searching or locating services, selecting the suitable ones, composing them into complex processes, resolving heterogeneity issues through process and data mediation, and reduce other tedious yet recurrent tasks with minimal manual effort. Just as semantics has brought significant benefits to search, integration and analysis of data, semantics is also seen as a key to achieving a greater level of automation to service orientation. This has lead to research and development, as well as standardization efforts on semantic Web services. Activities related to semantic Web services have involved developing conceptual models or ontologies, algorithms and engines that could support machines in semi-automatically or automatically discovering, selecting, composing, orchestrating, mediating and executing services. This chapter provides an overview of the area after nearly a decade of research. The main principles and conceptual models proposed thus far including OWL-S, WSMO, and SAWSDL/METEOR-S. The main approaches developed by the research community that are able to use these semantic descriptions of services to support some of the typical activities related to services and service-based applications are described. Next, the ideas and techniques described through two applications that integrate semantic Web services technologies within real-world application are illustrated. Finally, a set of key resources is provided that would allow the reader to reach a greater understanding of the field, and are the main issues that will drive the future of semantic Web services.