Ontology-Driven Computer Systems
Elementary Senses in Domain Knowledge Processing
Keywords:Ontology engineering, Elementary sense, Knowledge representation, Commonsense knowledge, Deep artificial intelligence, Scientific model of the World
This article delves into the evolving frontier of ontology-driven natural language information processing. Through an in-depth examination, we put forth a novel linguistic processor architecture, uniquely integrating linguistic and ontological paradigms during semantic analysis. Distancing from conventional methodologies, our approach showcases a profound merger of knowledge extraction and representation techniques. A central highlight of our research is the development of an ontology-driven information system, architected with an innate emphasis on self-enhancement and adaptability. The system’s salient capability lies in its adept handling of elementary knowledge, combined with its dynamic aptitude to foster innovative concepts and relationships. A particular focus is accorded to the system’s application in scientific information processing, signifying its potential in revolutionising knowledge-based applications within scientific domains. Through our endeavours, we aim to pave the
way for more intuitive, precise, and expansive ontology-driven tools in the realm of knowledge extraction and representation.
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Copyright (c) 2023 Mykola Petrenko, Ellen Cohn, Oleksandr Shchurov, Kyrylo Malakhov
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.