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Information × Registration Number 0310U002136, 0107U001302 , R & D reports Title Increase of information systems intellectuality on the basis of development of ontology and visual structure technique popup.stage_title Експериментальні дослідження методів підвищення якості інформаційного забезпечення проектування і організації пошуку інформації. Розробка інформаційної технології проектування та документування програмних систем на основі комутаційної моделі та розвитку моделей UML. Розробка загальних принципів та інформаційної технології проектування програмних систем для вирішення задач якісного пошуку інформації Head Tarasov Alexander F., Registration Date 08-02-2010 Organization Donbass State Engineering Academy popup.description2 Subject of inquiry is applying ontological approach for increase of information systems intellectuality. The research objective is developing and generalizing of information systems creation methodology on the basis of integrated engineer-ing tool application along with decision-making intellectualization methods in program systems and complex technical machine-building systems design. Information technology of the program systems design on the basis of commutation model by the means of evolution of UML notation, increasing connections significance and documenting them using meta-data. Informational technology and method of assembly analog search in the database of CAD-projects metadata, which allows to formalize search and increase the results relevance on the basis of ontological assembly metadata and ontology software tools. Using the offered algorithm for solving different problems on the basis of ontological approach a set of dif-ferent software packages for processing algorithm steps for different application domains including AI methods for increas-ing decision-making quality. Typical queries to different application domains metadata is investigated: in search of design patterns in a set of known ontologies, in search of analogs in the CAD-projects metadata database, search relevance is pro-vided. Architecture based on the agents ontological classification for implementation of multi-agent information retrieval system is offered. This architecture and specialized development tools allowed to implement application that increased in-formation retrieval systems intellectuality and search efficiency. The results of research are actual and correspond to world tendencies of development in the area of knowledge-oriented methodologies of data processing and search automation, ontological and object-oriented approaches to application domain knowledge representation in program systems development, world requirements for AI tools development and integration level, modern tendencies in information systems implementation Product Description popup.authors Бурлей П.О. Вінников М.О. Короткий С.О. Лябик О.А. Сагайда П.І. Таран С.В. Тарасов О.Ф Тарасов О.Ф. popup.nrat_date 2020-04-02 Close