Enabling Semantic Mediation in DaaS Composition

Autor: Djamal Benslimane, Idir Amine Amarouche, Zaia Alimazighi
Přispěvatelé: Service Oriented Computing (SOC), Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-École Centrale de Lyon (ECL), Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Université Lumière - Lyon 2 (UL2)
Rok vydání: 2013
Předmět:
Zdroj: International Journal of Information Technology and Web Engineering
International Journal of Information Technology and Web Engineering, 2013, 4, 8, pp.1-19. ⟨10.4018/ijitwe.2013100101⟩
ISSN: 1554-1053
1554-1045
DOI: 10.4018/ijitwe.2013100101
Popis: As commonly agreed, Web services fall into two categories depending on their functionality world-altering services and Data-as-a-Service (DaaS). Much work has been done on automatic DaaS discovery and composition, such as the query rewriting approach proposed by the database community. In this context, DaaS is described as Parameterized-RDF View over Domain Ontology (DO). However, the DO is unable to capture the different perspectives or viewpoints for the same domain knowledge. This limitation raises semantic conflicts between pieces of data exchanged during DaaS composition process. Thus, mediators are typically required to reconcile potential conflicts. In this paper, the authors propose a service-based approach for automatically inserting appropriate mediation services in DaaS compositions to resolve incompatibilities in their data flow. Also, the authors present a context-driven approach to support semantic mediation between composed DaaSs. The implementation and the experimental evaluations performed showed us satisfactory results.
Databáze: OpenAIRE