The paper entitled “Towards Ontology Refinement by Combination of Machine Learning and Attribute Exploration” by Jedrzej Potoniec has been accepted to the PhD Symposium of EKAW 2014.
Category Archives: FCA
Poster accepted to ISWC2014
Our poster “Towards Combining Machine Learning with Attribute Exploration for Ontology Refinement” co-authored by Jędrzej Potoniec, Sebastian Rudolph, and Agnieszka Ławrynowicz has been accepted to ISWC’2014 Poster and Demo session.
Visit of Sebastian Rudolph
Last week we were happy to host prof. Sebastian Rudolph from the Technische Universität Dresden. Together with Sebastian, Jędrek Potoniec and myself we have started a cooperation in the area of knowledge base completion with Formal Concept Analysis (we investigated some new ideas related to the use of machine learning in FCA).
Sebastian also gave a very interesting talk entitled “Advocatus Diaboli – A Playful Way of Enriching Ontologies with Negative Constraints” at the seminar of the Institute of Computing Science on enriching ontologies with negative constraints with a methodology where a domain expert navigates through the space of satisfiable class expressions with the aim of finding absurd ones. These ones can then be eliminated by adding a relevant constraint to the ontology.