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The development of a system for automated ontology building based on heterogeneous ontology design patterns
Author(s) -
Yury A. Zagorulko,
Olesya Borovikova,
Galina Zagorulko
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1715/1/012014
Subject(s) - ontology , computer science , process ontology , ontology components , idef5 , ontology based data integration , field (mathematics) , upper ontology , process (computing) , software engineering , open biomedical ontologies , formal ontology , suggested upper merged ontology , data science , domain knowledge , programming language , philosophy , mathematics , epistemology , pure mathematics
Currently, ontologies have become the main means of formalizing and systematizing knowledge and data in scientific subject domains (SSDs). In this regard, there is an urgent need for the methods and software tools allowing to involve specialists from different scientific subject domains in the process of ontology building. A possible way to solve this problem is to use ontology design patterns (ODPs). The paper presents an approach to the development of a system supporting the automated construction of the SSD ontologies based on ontology design patterns, which are the formal descriptions of field-proven solutions to typical ontological modeling problems. The main components of this system are repositories of heterogeneous ODPs and basic ontologies, including concepts common to most SSDs, and editors of patterns and ontologies used to build and populate ontologies.