UDC 004.89
TECHNOLOGY OF AUTOMATED CONCEPT SYSTEM AND KNOWLEDGE BASE FORMATION PROCESS FOR APPLICATION DOMAINS WITH COMPLEX-STRUCTURED OBJECTS
K. A. Gulyaeva, lecturer, Department of Software Engineering and Artificial Intelligence, FEFU, Vladivostok, Russia;
orcid.org/0000-0003-0226-5072, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
I. L. Artemieva, Dr. Sc. (Tech.), full professor, Department of Software Engineering and Artificial Intelligence, FEFU, Vladivostok, Russia; orcid.org/0000-0003-2088-5259, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
The problem of knowledge base construction that are based on application domain ontologies is studied. The aim is to create the technology of automated concept system and knowledge base formation process for application domains with complex-structured objects. The application domain class the objects of which are systems with complex structures is defined. The process of system metagraph creation is formalized. The automation of concept system elicitation process happens with the help of the developed system meta-graph vertex neighborhood examination procedure and meta-concept set introduction. Case categories emerging during system meta-graph vertex neighborhood examination procedure are derived. Initialization templates that depict inner structure of system property groups are defined. The technology allows the expert to generate intermediate ontology concepts in a systematic manner. Part of argument types of knowledge base functions and predicates created by expert is generated automatically based on metaconcept. Other argument types are chosen from a finite set of alternatives. The developed technology can be utilized at knowledge base editor creation phase for application domains with complex-structured objects. These design solutions help to obtain knowledge base schema design technologies of practical use.
Key words: : : knowledge base, intelligent system, metagraph, ontology, application domain, complex-structured system, meronym system, theory