2015

referat

angielski

EN We propose a new method for knowledge acquisition and ontology refinement for the Semantic Web. The method is based on a combination of the attribute exploration algorithm from the formal concept analysis and active learning approach to machine learning classification task. It enables utilization of Linked Data during the process of an ontology refinement in a manner that it is possible to use remote SPARQL endpoints. We also report on a preliminary experimental evaluation and argue that our method is reasonable and useful.

225 - 232

10.1007/978-3-319-17966-7_32

https://link.springer.com/chapter/10.1007/978-3-319-17966-7_32

Knowledge Engineering and Knowledge Management : EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic, Linköping, Sweden, November 24-28, 2014. Revised Selected Papers

EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic, 24-28.11.2014, Linköping, Sweden

WoS (15)