A natural classification as a systemological method for knowledge modelling

dc.contributor.authorBondarenko, M.
dc.contributor.authorSolovyova, K.
dc.contributor.authorMatorin, S.
dc.contributor.authorElchaninov, D.
dc.date.accessioned2014-11-10T15:14:32Z
dc.date.available2014-11-10T15:14:32Z
dc.date.issued2006
dc.description.abstractThe main purpose of the given work is the application of systemological classification analysis method and natural classification criteria for conceptual knowledge acquisition, ontologies and knowledge bases creation. Method based on natural classification helps to investigate deep semantic regularities of subject domain and to take proper account of system-classes essential properties the most objectively. It allows receiving the forecasting parametrical classifications and effective ontologies in different ill-structured problem domains, knowledge management, organizational modelling for companies’ sustainable development and competitive advantages providing.uk_UA
dc.identifier.citationA natural classification as a systemological method for knowledge modelling / M. Bondarenko, K. Solovyova, S. Matorin, D. Elchaninov // Computer science and information technologies: proceedings of the international conference (September 28th-30th, Lviv, Ukraine) / Lviv Polytechnic National University, Institute of Computer Science and Information Technologies. – Lviv, 2006. – P. 116–117.– Bibliography: 5 titles.uk_UA
dc.identifier.otherUDC 005.001.57:519.7
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/25062
dc.language.isoenuk_UA
dc.publisherУкраїнські технологіїuk_UA
dc.subjectnatural classificationuk_UA
dc.subjectsystemological classification analysisuk_UA
dc.subjectconceptual knowledgeuk_UA
dc.subjectparametrical classificationuk_UA
dc.subjectontologyuk_UA
dc.subjectlow-formalized subject domainuk_UA
dc.subjectsystemologyuk_UA
dc.titleA natural classification as a systemological method for knowledge modellinguk_UA
dc.typeArticleuk_UA

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