69,558 research outputs found
Mediation of semantic web services in IRS-III
Business applications composed of heterogeneous distributed components or Web services need mediation to resolve data and process mismatches at runtime. This paper describes mediation in IRS-III, a framework and platform for developing WSMO-based Semantic Web Services. We present our approach to mediation within Semantic Web Services and highlight the role of WSMO mediator types when solving mismatches at the semantic level between a service requester and a service provider. We describe the components of our mediation framework and how it can handle data, goal and process mediation during the activities of selection, composition and invocation of Semantic Web Services
Model-driven design, simulation and implementation of service compositions in COSMO
The success of software development projects to a large extent depends on the quality of the models that are produced in the development process, which in turn depends on the conceptual and practical support that is available for modelling, design and analysis. This paper focuses on model-driven support for service-oriented software development. In particular, it addresses how services and compositions of services can be designed, simulated and implemented. The support presented is part of a larger framework, called COSMO (COnceptual Service MOdelling). Whereas in previous work we reported on the conceptual support provided by COSMO, in this paper we proceed with a discussion of the practical support that has been developed. We show how reference models (model types) and guidelines (design steps) can be iteratively applied to design service compositions at a platform independent level and discuss what tool support is available for the design and analysis during this phase. Next, we present some techniques to transform a platform independent service composition model to an implementation in terms of BPEL and WSDL. We use the mediation scenario of the SWS challenge (concerning the establishment of a purchase order between two companies) to illustrate our application of the COSMO framework
The business process modelling ontology
In this paper we describe the Business Process Modelling Ontology (BPMO), which is part of an approach to modelling business processes at the semantic level, integrating knowledge about the organisational context, workflow activities and Semantic Web Services. We harness knowledge representation and reasoning techniques so that business process workflows can: be exposed and shared through semantic descriptions; refer to semantically annotated data and services; incorporate heterogeneous data though semantic mappings; and be queried using a reasoner or inference engine. In this paper we describe our approach and evaluate BPMO through a use case
On the Automated Synthesis of Enterprise Integration Patterns to Adapt Choreography-based Distributed Systems
The Future Internet is becoming a reality, providing a large-scale computing
environments where a virtually infinite number of available services can be
composed so to fit users' needs. Modern service-oriented applications will be
more and more often built by reusing and assembling distributed services. A key
enabler for this vision is then the ability to automatically compose and
dynamically coordinate software services. Service choreographies are an
emergent Service Engineering (SE) approach to compose together and coordinate
services in a distributed way. When mismatching third-party services are to be
composed, obtaining the distributed coordination and adaptation logic required
to suitably realize a choreography is a non-trivial and error prone task.
Automatic support is then needed. In this direction, this paper leverages
previous work on the automatic synthesis of choreography-based systems, and
describes our preliminary steps towards exploiting Enterprise Integration
Patterns to deal with a form of choreography adaptation.Comment: In Proceedings FOCLASA 2015, arXiv:1512.0694
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A linked data-driven & service-oriented architecture for sharing educational resources
The two fundamental aims of managing educational resources are to enable resources to be reusable and interoperable and to enable Web-scale sharing of resources across learning communities. Currently, a variety of approaches have been proposed to expose and manage educational resources and their metadata on the Web. These are usually based on heterogeneous metadata standards and schemas, such as IEEE LOM or ADL SCORM, and diverse repository interfaces such as OAI-PMH or SQI. Also, there is still a lack of usage of controlled vocabularies and available data sets that could replace the widespread use of unstructured text for describing resources. On the other hand, the Linked Data approach has proven that it offers a set of successful principles that have the potential to alleviate the aforementioned issues. In this paper, we introduce an architecture and prototype which is fundamentally based on (a) Linked Data principles and (b) Service-orientation to resolve the integration issues for sharing educational resources
Combining goal-oriented and model-driven approaches to solve the Payment Problem Scenario
Motivated by the objective to provide an improved participation of business domain experts in the design of service-oriented integration solutions, we extend our previous work on using the COSMO methodology for service mediation by introducing a goal-oriented approach to requirements engineering. With this approach, business requirements including the motivations behind the mediation solution are better understood, specified, and aligned with their technical implementations. We use the Payment Problem Scenario of the SWS Challenge to illustrate the extension
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Knowledge modelling for integrating semantic web services in e-government applications
Service integration and domain interoperability are
the basic requirements in the development of current
service-oriented e-Government applications. Semantic
Web and, in particular, Semantic Web Service (SWS)
technology aim to address these issues. However, the integration between e-Government applications and SWS is not an easy task. We argue that a more complex semantic layer needs to be modeled. The aim of our work is to provide an ontological framework that maps such a semantic layer. In this paper, we describe our approach for creating a project-independent and reusable model, and provide a case study that demonstrates its applicability
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