Antonis Bikakis

Learn More
Nonmonotonic rule systems are expected to play an important role in the layered development of the semantic Web. Defeasible reasoning is a direction in nonmonotonic reasoning that is based on the use of rules that may be defeated by other rules. It is a simple, but often more efficient approach than other nonmonotonic rule systems for reasoning with(More)
The imperfect nature of context in Ambient Intelligence environments and the special characteristics of the entities that possess and share the available context information render contextual reasoning a very challenging task. The accomplishment of this task requires formal models that handle the involved entities as autonomous logic-based agents and(More)
In ambient environments, there coexist many different entities that collect, process, and change the available context information. Although they all share the same context, they face it from different viewpoints based on their perceptive capabilities, experiences and goals. Moreover, they are expected to use distinct vocabularies; they may even have(More)
The tourism industry is a good candidate for taking up Semantic Web technology. We studied the brokering and matchmaking problem in the tourism domain: that is, how a requester’s requirements and preferences can be matched against a set of offerings collected by a broker. The proposed solution uses the Semantic Web standard of Resource Description Framework(More)
Ambient Intelligence environments host various agents that collect, process, change and share the available context information. The imperfect nature of context, the open and dynamic nature of such environments and the special characteristics of ambient agents have introduced new research challenges in the study of Distributed Artificial Intelligence. This(More)
1. Contextual Defeasible Logic The study of ambient computing (AmI) environments and pervasive computing systems has introduced new research challenges in the field of KR. These are mainly caused by the imperfect nature of context information, and the need to provide distributed reasoning capabilities. [4] characterizes four types of imperfect context(More)
Research in many fields of AI, such as distributed planning and reasoning, agent teamwork and coalition formation, cooperative problem solving and action theory has advanced significantly over the last years, both from a theoretical and a practical perspective. In the light of the development towards ambient, pervasive and ubiquitous computing, this(More)