We present a novel approach to machine learning, called ABML (argumentation based ML). This approach combines machine learning from examples with concepts from the field of argum...
Problems arising from the revision of propositional knowledge bases have been intensively studied for two decades. Many different approaches to revision have thus been suggested, w...
In this paper we focus on scene classification and detection of high-level concepts within multimedia documents, by introducing an intermediate contextual approach as a means of ...
Evaggelos Spyrou, Phivos Mylonas, Yannis S. Avrith...
Automatizing the merging of knowledgebases is an important step towards more efficient knowledge management. The cases when two knowledgebases need to be merged completely into a m...
Detecting quality problems in semantic metadata is crucial for ensuring a high quality semantic web. Current approaches are primarily focused on the algorithms used in semantic met...