Knowledge elicitation is known to be a difficult task and thus a major bottleneck in building a knowledge base. Machine learning has long ago been proposed as a way to alleviate th...
Martin Mozina, Matej Guid, Jana Krivec, Aleksander...
In this work we present the usage of semantic web knowledge representation formalism (OWL) in combination with general purpose reasoning for building a medical expert system. The a...
Abstract. The increasing awareness of the benefits of ontologies for information processing has lead to the creation of a number of large ontologies about real world domains. The ...
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Abstract. Ontology evolution is a painstaking and time-consuming process, especially in information rich and dynamic domains. While ontology evolution refers both to the adaptation...
Fouad Zablith, Marta Sabou, Mathieu d'Aquin, Enric...