FCA-based Search for Duplicate Objects in Ontologies
Ilvovsky Dmitry, Klimushkin Mikhail Alekseevich · 2013
A new approach for detecting duplicates in ontology built on real redundant data is considered. This approach is based on transformation of initial ontology into a formal context and processing this context using methods of Formal Concept Analysis (FCA). As a part of a new method we also introduce a new index for measuring similarity between objects in formal concept. We study the new approach on randomly generated contexts and real ontology built for a collection of political news and documents.