UDC 004.89
TOOLKITS FOR CONCEPT SYSTEM AND KNOWLEDGE BASE DESIGN 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.
Concept systems and knowledge bases for application domains with complex-structured objects are expanded rapidly. Time-consuming operations for knowledge base design, which includes choosing its scheme, savvy selection of interim concepts, designating its filling type are performed by application domain experts. The question is whether it is possible to automate this process. Can we suggest any specialized expert decision support toolkits? The aim is to develop and research specialized program toolkits for structuring applied concept systems and knowledge bases grounded on them for application domains with complexstructured objects (based on a chemical compound reaction capacity identification problem). This research suggests that the hybrid editor be used, which works in two automation regimes. It allows any application domain expert to choose – to make minimum effort or to customize the process of concept system and knowledge base development, whichever is preferable. Basic elements of hybrid editor are complexstructured system metagraph editor, metaconcept generator, and function and predicate constructor. Complex-structured system is created with the help of metagraph editor. The subsystems of complex-structured system can be of four structural types: elementary system, descriptive system, system-subset, and systemprocess. Metaconcept generator automatically forms the set of metaconcepts that match with interim concepts. Function and predicate signatures are set by an application domain expert with the help of function and predicate constructor with arbitrary argument list and function and predicate metaconcept constructor. The latter automatically sets some of the allowable arguments, which facilitates application domain expert work during concept system and knowledge base formation
Key words: : knowledge base, intelligent system, ontology, application domain, complex-structured system, applied logics theory, intermediary concepts, reaction capacity identification