A Similarity Measure across Ontologies for Web Services Discovery

Author(s):  
Aissa Fellah ◽  
Mimoun Malki ◽  
Atilla Elci

Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure.

Author(s):  
Aissa Fellah ◽  
Mimoun Malki ◽  
Atilla Elci

Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure.


Web Services ◽  
2019 ◽  
pp. 859-881 ◽  
Author(s):  
Aissa Fellah ◽  
Mimoun Malki ◽  
Atilla Elci

Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure.


2013 ◽  
Vol 373-375 ◽  
pp. 1853-1858
Author(s):  
Zhi Hao Zeng ◽  
Fu Lu Guo ◽  
Qi Sun

For search of semantic Web services, a semantic Web services matching results ranking mechanism based on SDMM (semantic distance metric model) is proposed. The calculation of semantic similarity measure can be realized by using this three-dimensional SDMM which is for presenting the semantic relationship of objects defined in ontology, therefore, the semantic Web Service matchmaking results can be ranked in accordance with the semantic similarity measure. The approach based on SDMM significantly improves search accuracy of semantic Web service matchmaking, and enhance users experience of semantic Web services search. By a set of experiments, we demonstrate the benefits and effectiveness of our approach.


2010 ◽  
pp. 644-659
Author(s):  
Catarina Ferreira da Silva ◽  
Paulo Rupino da Cunha ◽  
Parisa Ghodous ◽  
Paulo Melo

In Service-Oriented Architectures (SOA), service descriptions are fundamental elements. In order to automatically execute SOA tasks, such as services discovery, it is necessary to capture and process the semantics of services. We review several Semantic Web Services frameworks that intend to bring semantics to Web Services. This chapter depicts some ideas from SOA and Semantic Web services and their application to enterprise application integration. We illustrate an example of logic-based semantic matching between consumer services and provided services, which are described in ontologies.


Author(s):  
Catarina Ferreira da Silva ◽  
Paulo Rupino da Cunha ◽  
Parisa Ghodous ◽  
Paulo Melo

In Service-Oriented Architectures (SOA), service descriptions are fundamental elements. In order to automatically execute SOA tasks, such as services discovery, it is necessary to capture and process the semantics of services. We review several Semantic Web Services frameworks that intend to bring semantics to Web Services. This chapter depicts some ideas from SOA and Semantic Web services and their application to enterprise application integration. We illustrate an example of logic-based semantic matching between consumer services and provided services, which are described in ontologies.


2010 ◽  
pp. 264-285
Author(s):  
Ty Mey Eap ◽  
Marek Hatala ◽  
Dragan Gaševic ◽  
Nima Kaviani ◽  
Ratko Spasojevic

The lack of intrinsic and user control in the identity management of today Internet security hampers the research in the area of Semantic Web and service-oriented architectures. Semantic Web research is seeking to develop expert Web services that are a composition of specialized Web services of multiorganizations. To unleash these emergent Web services, we propose an open security framework that is based on the concept of personal identity management. Despite the resistance from today’s Internet security dominated by domain-centric identity management, we believe that when all the alternatives are exhausted, the industry will come to the conclusion that the concept of personal identity management is the only approach to provide true user-centric identity management and give users control over the management of their identities.


Author(s):  
Marc Rabaey ◽  
Herman Tromp ◽  
Koenraad Vandenborre ◽  
Eddy Vandijck ◽  
Martin Timmerman

An emerging technology like business process execution language (BPEL) and its implementation in BPEL for Web services (BPEL4WS) gives extra possibilities in describing business processes. It further adheres, as a technology, in a consistent way to the underlying Web service-based implementation technology and is a perfect fit for service-oriented architectures (SOA) as they are currently implemented throughout organizations as a successor to enterprise application integration (EAI). However, BPEL4WS, in its current implementation, will only serve in a static way for production workflows. In this chapter we discuss how Semantic Web services through a semantic service-oriented architecture (SSOA) can be used to extend BPEL4WS to create ad hoc and collaborative workflows.


Author(s):  
Ioan Toma ◽  
Flavio De Paoli ◽  
Dieter Fensel

Service-Oriented Architectures (SOAs) are a widespread solution for realizing distributed applications. Empowered by semantic technologies these architectures will evolve in what is known as Semantically Enabled Service Oriented Architectures (SESAs) providing automatic support for various service related tasks such as discovery, ranking, composition, etc. Services are the core building blocks of both SOA- and SESA- based systems and therefore modelling various aspects of services becomes a fundamental challenge to any enterprise building SOA solutions. Among these aspects, non-functional properties of a service need to be addressed given the high dynamism of any SOA-based system. Non-functional properties descriptions are highly relevant for many of the service related tasks such as discovery, ranking, selection, and negotiation. This chapter investigates several research problems which arise in the area of Semantic Web services, namely how to describe non-functional properties of services, what models are required, and what is the proper language support for describing Non-functional Properties. Our solution was developed, and is part of the Web Service Modelling Ontology, one of the major initiatives in Semantic Web services area. We present a comprehensive set of ontological models for non-functional properties, our approach to attach non-functional properties descriptions to services, and the language support needed to formalize non-functional properties descriptions.


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