Abstract Web services are a solution for the integration of distributed information systems, autonomous and in real time, heterogeneous and auto adaptable to the context. This impact can resolve many problems in different system based on SOA and Web services. In this paper, we are interested in defining an approach to provide the different needs of a self adaptability of Web services to... Web services are a solution for the integration of distributed information systems, autonomous and in real time, heterogeneous and auto adaptable to the context. This impact can resolve many problems in different system based on SOA and Web services. In this paper, we are interested in defining an approach to provide the different needs of a self adaptability of Web services to context based on workflow and present its performance through an evaluation study, define the real time goal in our approach and showing the feasibility of this approach in an e-healthcare study. Read More Read Less

Abstract Data mining has emerged to address the problem of drawing interesting knowledge from data. Among the most used data mining techniques, we concentrate on association rules which lead to the derivation of useful associations and correlations within data. In parallel, the advance of the ontology which is one of the most important concepts in knowledge representation has speedily altered the way of... Data mining has emerged to address the problem of drawing interesting knowledge from data. Among the most used data mining techniques, we concentrate on association rules which lead to the derivation of useful associations and correlations within data. In parallel, the advance of the ontology which is one of the most important concepts in knowledge representation has speedily altered the way of information structuring and sharing. Recently, the area of coupling association rules and ontology has been a focus for several researchers. In this paper, we aim to extract enhanced association rules over ontological resource. Thus, we introduce a new approach ECARD for an enhanced association rules derivation. Indeed, two main categories of knowledge are drawn, namely transitive and causal association rules. The encouraging carried out experimental results show the usefulness of our approach. Read More Read Less

Abstract Personalization is the adaptation of information according to user needs. Personalization when applied to Semantic Web offers many advantages when compared to traditional Web as Semantic Web is the next generation Web. Ontologies play a crucial role in bringing the Semantic Web to its full potential. Ontological relationship can be utilized in inferring additional information in Semantic Web. In this... Personalization is the adaptation of information according to user needs. Personalization when applied to Semantic Web offers many advantages when compared to traditional Web as Semantic Web is the next generation Web. Ontologies play a crucial role in bringing the Semantic Web to its full potential. Ontological relationship can be utilized in inferring additional information in Semantic Web. In this paper, a SemRPer rule based personalization system for Semantic Web is proposed. SemRPer system generates personalized recommendations using a generic rule reasoner. Generic rule reasoner is built on the rule set which consist of a set of rules written to carry out the personalization task. Performance of SemRPer system is demonstrated by using two applications as examples. Read More Read Less