Detecting duplicate objects in ontologies using FCA |
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Authors: | M A Klimushkin D A Ilvovsky |
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Affiliation: | 16153. Higher School of Economics, National Research University, Myasnitskaya ul. 20, Moscow, Russia
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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. |
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