Structural Alignment Method of Conceptual Categories of Ontology and Formalized Domain

The problem of the structural method of ontology alignment and the more formally represented structured domain is considered. The applied area of research belongs to the field of ethical AI. The ontology developed on the basis of the ISO / IEC TR 24028 standard Overview of trustworthiness in Artificial Intelligence, and the formalized research based on the corpus of gray literature which represents global landscape is investigated. Presented a structured alignment method used for manual alignment. The method is part of a general system of alignment and is based on building relationships about the study entity on the domain of ontology and finding the appropriate structure on the structured domain. The method is based on the semantic structures of concepts and relationships between them. More formally, the emphasis is on semantic relationships and the search for appropriate semantic structures to determine alignment at the level of the structure of relationships. The aim of the study is to detect the compliance of the trustworthiness ontology with the current global state of the problem and the existing global trend in the field of AI ethics. The structural method has shown that semantic relationships with the domain of research are an important element and stage of alignment. Semantic relationships play an important role because they can be used to detect the alignments of concepts, despite the fact that the corpus has been documented in different languages and with a different lexical notation of concepts. The results of the research showed that the ontology based on the ISO / IEC TR 24028 standard adequately corresponds to the global view on the issue of AI ethics.

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