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Evènements et manifestations

16/12/2014

Doctorate thesis defense of Asma Adala Oueslati




Doctorate thesis defense on Thursday January 8th, 2015 at 9 a.m  in Amphi Iset’Com


Entitled : NOVEL APPROACHES FOR AUTOMATIC DISCOVERY AND COMPOSITION OF SEMANTIC WEB SERVICES INTEGRATED TO A QUERY-BASED FRAMEWORK

Presented by : Asma Adala Oueslati 



Committee


President

Mr. Yahya SLIMANI

Professor at ISAMM, Tunis

 

 

 

Reporters

Mrs. Ana Rosa CAVALLI

Professor at Telecom SudParis, France

 

Mrs. Henda HAJJAMI BEN GHEZALA

Professor at ENSI, Tunis

 

Examiner

Mr. Slim REKHIS

Assistant Professor at Sup’Com, Tunis

 

Thesis director

Mr. Nabil TABBANE

Associate Professor at Sup’Com, Tunis


Abstract


Web Services provide the ideal implementation for SOA Service Oriented Architecture as they offer pervasive, simple, and platform-neutral communication technology. The emergent Semantic Web paradigm has encouraged researchers to enrich existing Web services descriptions with machine interpretable semantics, called Semantic Web Services. Similar to the Semantic Web vision, the idea of Semantic Web Services is to automate related Web services core tasks such as discovery, composition, selection, and invocation. In this dissertation, we present novel approaches for service discovery and service composition. For this purpose, we first propose an innovative service discovery approach based on a hybrid matchmaking algorithm that combines lexical, logical and corpus-based similarity computation techniques. The experimental evaluation results demonstrate that OWLS-LLCR, our implemented matchmaker engine, outperforms other similar matchmakers and provides a feasible and efficient solution for automatic service discovery. Second, we present OWLS-WSC, our service composer which implements a novel technique for automated composition. Our proposed solution addresses the problems of non-deterministic behavior of component services as well as the partial observability of services evolution states by applying an AI Artificial Intelligence planning as model checking technique. Moreover, we introduce QoS awareness in our composition method in order to improve the composition plan selection. We also consider the adaptivity of the composition process to the environment changes at run-time. The OWLS-WSC evaluation results have shown that our proposed method for automatic service composition is effective and scalable for reasonable planning domain’s dimension. Finally, we present an automated software framework for semantic Web services discovery and composition, named WSDC. In our proposed WSDC framework, integrated discovery and composition procedures do not require any user technical background, and utilized semantic technologies and Natural Language Processing techniques are totally transparent to user. Furthermore, a prototype implementation of our WSDC framework has been developed to evaluate the framework performance. The obtained results mainly demonstrate the feasibility and the scalability of our proposed system.


Keywords


Semantic Web Services, Web Service Discovery, Web Service Composition, Web Service Description, Semantic Matching, Ontology, Natural Language Processing.