Detecting duplicate objects in ontologies using FCA

Authors:
M. A. Klimushkin;D. A. Ilvovsky
Affiliations:
Higher School of Economics, National Research University, Moscow, Russia;Higher School of Economics, National Research University, Moscow, Russia
Venue:
Automatic Documentation and Mathematical Linguistics
Year:
2013

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Abstract

In our work we consider a new approach to detecting duplicates in an ontology built on real redundant data. This approach is based on the transformation of an initial ontology into a formal context and processing of this context using Formal Concept Analysis (FCA) methods. A new index for measuring the similarity between objects in formal concept analysis is introduced to detect duplicate objects. We study the new approach on a real ontology based on the collection of political news and documents. The proposed index is compared with the existing indices and methods for detecting object similarity.