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Hybrid Approach to Designating Ontology Attribute Semantics

Computational Collective Intelligence(2022)

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Abstract
In our previous works, we have developed a novel approach to ontologies that provides a notion of attributes semantics. We have noticed that attributes by themselves contain no explicit meaning besides being a carrier of values, and gain such only if included within a concept. The biggest difficulty while creating and maintaining ontologies using our formal framework is asserting the consistency of vocabulary used to express the aforementioned semantics. The following article presents the method for automatic designating of attributes semantics in ontologies. We extend our previous work where a semi-automatic method has been proposed. The new approach utilizes Word2Vec similarity (incorporating the Genism library) and the WordNet lexical database. The experiments confirmed the usefulness of the framework by comparing attribute semantics created by experts manually and using the proposed solution.
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