This paper describes a research project that investigated the feasibility and advantages of using contextual reasoning to supervise the collaborative work of several knowledge wor...
Avelino J. Gonzalez, Setsuo Tsuruta, Johann Nguyen...
Spectral Graph Transducer(SGT) is one of the superior graph-based transductive learning methods for classification. As for the Spectral Graph Transducer algorithm, a good graph re...
The paper presents observations concerning teaching Prolog to computer science students. Basing on these experiences an interactive web-portal is proposed to support teaching. Som...
Ontology alignment is regarded as one of the core tasks in many Web services. It is concerned with finding the correspondences between separate ontologies by identifying concepts ...
This paper describes the implementation of a system that automatically learns selectional restrictions for individual senses of polysemous verbs from subject-object relationships....
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
In Artificial Intelligence, a crucial requirement is the ability to reason about actions and their effects on the environment. Traditional approaches which rely on classical logic...