IRS-III: A broker-based approach to semantic Web services

Domingue, John; Cabral, Liliana; Galizia, Stefania; Tanasescu, Vlad; Gugliotta, Alessio; Norton, Barry; Pedrinaci, Carlos

doi:10.1016/j.websem.2008.01.001

Cited by 69 publications

(34 citation statements)

References 23 publications

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“…WSMX [18], IRS-III [19] and SUPER [20] are based on WSMO representation and also use, like [16], most WSMO features such as precondition and effect semantic descriptions. While [18] and [19] settle for "1-to-1" logic-based service matching by means of, respectively, WSMO Choreography and a UPML knowledge model (Unified Problem-solving Method description Language) for process description, [20] uses dedicated ontology, called sBPMN, to express process logic and provides "1-ton" composition in order to deal with granularity differences between business activities and technical services. SOA4All [21] defines a lightweight SWS representation based on WSMO (called WSMO-Lite) and its executive environment based on a light WSMX, improving algorithm to provide high-performance "1-to-n" composition.…”

Section: Semantic Reconciliation: State Of the Artmentioning

confidence: 99%

Mediation information system engineering based on hybrid service composition mechanism

Boissel-Dallier

Bénaben

Lorré

et al. 2015

Journal of Systems and Software

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With the expansion of service-based information systems and the need for organizations to collaborate with external partners, the alignment of business with IT has become crucial. This paper presents a hybrid service composition mechanism, which couples logic-based and syntactic matchmaking of services and messages in order to transform business processes into executable workflows by ensuring service interoperability. This mechanism is based on both top-down and bottom-up approaches, with a view to meeting business requirements for access to available technical services, using a generic semantic profile as a pivotal model. Whereas service matchmaking focuses on functional coverage of generated workflow, message matchmaking involves the generation of the required message transformation.

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Section: Semantic Reconciliation: State Of the Artmentioning

confidence: 99%

Mediation information system engineering based on hybrid service composition mechanism

Boissel-Dallier

Bénaben

Lorré

et al. 2015

Journal of Systems and Software

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“…Then, a "generic inference mechanism shall be developed for handling SWS" (Charif, Y., Sabouret, N., 2006). Various technologies exist, such as OWL-S (W3C, 2004), WSMO (W3C, 2005), METEOR-S (Sheth, A. P., Gomadam, K., Ranabahu, A., 2008), IRS-III (Domingue, J. et al, 2008), etc. The main drawbacks of these approaches are that the user must be a computer specialist, whereas the services composition solutions are intended to help ordinary users in the web, and some manual steps must be performed by the user (Charif, Y., Sabouret, N., 2006).…”

Section: The Semantic Webmentioning

confidence: 99%

The G.O.A.L. Approach - A Goal-Oriented Algebraic Language

Dantan¹,

Pollet²,

Taïbi³

2013

Proceedings of the 8th International Conference on Evaluation of Novel Approaches to Software Engineering

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Abstract:In a global context of sharing information, such as Big Data and cloud computing paradigms, researchers are developing many means to deal with new data models and algorithms. However, the development and reuse of these ones is complex because of the heterogeneity of environments, data formats and contexts of use all around of the world. That's why a way to share and reuse algorithms and treatments through a common formalism is needed, for both machines and computers. The ultimate goal of our work is to provide a collaborative platform for not only experts but also machines automatically develop, reuse and chain treatments, computations and models. For this, we rely on a goal-oriented approach which is associated with the Semantic Web, to establish a common formalism to design models for worldwide researchers. In this article, we propose the formalization of our approach thanks to an algebra which is linked to the Semantic Web standards. Finally, we provide a high-level language dedicated to both computers and experts, illustrated with examples that are linked to the agriculture domain.

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“…IRS-III [15] employs WSMO's conceptual model to provide a broker-based approach in which a client sends a request expressing a desired outcome or goal and a broker discovers potentially relevant Web services, selects the Web services that best fit the incoming request, mediates any mismatches at the conceptual level, and invokes the selected Web services. In IRS-III, as in our approach, service selection relies on instance data and is based on preconditions and assumptions, but also considers other elements including input types and non-functional properties.…”

Section: Related Workmentioning

confidence: 99%