Year: 2024
Type: conference-paper
Abstract: In the production of entomophages of guaranteed quality for the biological protection of plants, as a complex biotechnical system of the ergic type, there are information flows that require there are, structuring and formalization. The application of the ontological approach, in particular, intelligent information technologies, allows to implement these functions. Currently, it is known that the ontological approach, as a generalization system, is actively used in the research of decision-making support processes, in particular, in the development of knowledge bases of intelligent information systems and the creation of automated knowledge management systems. The aim of the work was the development of a thesaurus of intellectual support for decision-making in the production of entomophages by managing the acquired knowledge using the results of own research, an ontological approach and the open source software environment Visual Understanding Environment. The thesaurus generalizes, structures and formalizes procedural knowledge in the form of the following components of the ontological approach: an expert system based on T. Saati's method of analyzing hierarchies, expert systems of fuzzy inference, fuzzy cognitive maps, Bayesian network, neural networks, frames, cognitive models. The thesaurus construction algorithm consists of the definition of concepts (knowledge regarding intellectual decision-making support in the production of entomophages), their decomposition into goals, means of automation (visualization) and efficiency. The specified approach allows to increase the level of informatization management processes of complex production due to the automation of knowledge acquisition, is useful in the processes of developing knowledge bases of intelligent systems. The research results are the basis for the development of a decision support system based on ontologies in the production of entomophages
Authors: Irina Chernova, Vitaliy Lysenko
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4405876713