Challenges and Role of Ontology Engineering in Creating the Knowledge Industry: A Research-Related Design Perspective
Cybernetics and Systems Analysis, ISSN: 1573-8337, Vol: 60, Issue: 4, Page: 633-645
2024
- 5Citations
- 4Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The article discusses models and mechanisms of transdisciplinary research in the perspective of creating clusters of disciplinary convergence and scientific theories, formal representation of knowledge, and the formation of the knowledge industry using a unified ontology engineering devkit. Special attention is focused on the possibilities of research-related design for the creation of new knowledge and technologies. A conceptual analysis of ontology engineering is conducted, indicating the importance and efficiency of applying ontology knowledge and mechanisms in solving user problems. The domain ontology, its ontology graph, and their essential differences and advantages from owl ontologies are examined in depth. An example of the application of task ontology to the design of programmable microchip computing devices is proposed.
Bibliographic Details
Springer Science and Business Media LLC
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