Ontological design of hybrid semantically compatible intelligent systems based on sense representation of knowledge

The work is devoted to the problem of ensuring the semantic compatibility of intelligent systems. It is shown that ensuring the compatibility of intelligent systems and the development of relevant standards is a key direction in the development of intelligent systems design technologies. The concept of the sense representation of information in the memory of an intelligent system has been formally clarified, which ensures the unambiguity of the presentation of information using a given set of concepts. The possibility of the automatic integration of knowledge within the the sense representation of knowledge, which is reduced to the merging of synonymous signs, is shown. The possibility of automatic integration of various models of knowledge processing is shown, if these models are teams of agents, oriented on processing of knowledge, presented in the memory of intelligent systems in a sense form, and interacting with each other also through the specified memory. The concept of OSTIS Technology, focused on the development of semantic computer systems and implementing the specified principles of information representation and processing, is proposed. The concept of the OSTIS Ecosystem is proposed, which is a group of interacting intelligent systems built using the OSTIS Technology and supporting the evolution and compatibility of these intelligent systems during their operation within this ecosystem. The examples of the use of OSTIS Technology in the development of applied intelligent systems are considered.