Kalliopi Kravari

Learn More
The Semantic Web aims at enriching information with well-defined semantics, making it possible both for people and machines to understand Web content. Intelligent agents are the most prominent approach towards realizing this vision. Nevertheless, agents do not necessarily share a common rule or logic formalism , neither would it be realistic to attempt(More)
The Semantic Web aims at automating Web content understanding and user request satisfaction. Intelligent agents assist towards this by performing complex actions on behalf of their users into real-life applications, such as e-Contracts, which make transactions simple by modeling the processes involved. This paper, presents a policy-based workflow(More)
The Semantic Web aims at making Web content understandable both for people and machines. Although intelligent agents can assist towards this vision, they do not have to conform to a common rule or logic paradigm. This paper reports on the first steps towards a framework for interoperating knowledge-based intelligent agents. A multi-agent system was extended(More)
Based on the plethora of proposals and standards for logic-and rule-based reasoning for the Semantic Web (SW), a key factor for the success of SW agents is interoperability of reasoning tasks. This paper reports on the first steps towards a framework for interoperable reasoning among agents in the SW that deploys third-party trusted reasoning services. This(More)
The Semantic Web aims to offer an interoperable environment that will allow users to safely delegate complex actions to intelligent agents. Much work has been done for agents' interoperability; especially in the areas of ontology-based metadata and rule-based reasoning. Nevertheless, the SW proof layer has been neglected so far, although it is vital for(More)