Systemological classification analysis in conceptual knowledge modeling

Данилов, А. Д.; Соловйова, К. О.; Бондаренко, М. Ф.; Слипченко, Н. И.; Бобровская, В. В.

Публікація:
Systemological classification analysis in conceptual knowledge modeling

dc.contributor.author	Данилов, А. Д.
dc.contributor.author	Соловйова, К. О.
dc.contributor.author	Бондаренко, М. Ф.
dc.contributor.author	Слипченко, Н. И.
dc.contributor.author	Бобровская, В. В.
dc.date.accessioned	2018-06-11T16:40:28Z
dc.date.available	2018-06-11T16:40:28Z
dc.date.issued	2010
dc.description.abstract	It is difficult to exaggerate the importance, the urgency and complexity of “good” classifications creation, especially in knowledge management, artificial intelligence, decision making. To what extend it is possible within a short paper, the peculiarities and advantages of the new system method of the systemological classification analysis for the classifications of concepts creation were discussed. It is noted that the systemological classification analysis on the basis of the natural classification improves considerably the quality and the power of the classification knowledge models and ontologies, allows taking into account the deep knowledge of any, including ill-structured, domains. In the process of the research conduction the system models of the domain fragment of the ontologies on the basis of the parametric classification were created. Some results of the actual domain “Social Networks in Internet” analysis and modelling and the ontology fragments, realized in the ontologies engineering tool Protégé 3.2, are also considered. The systemological classification analysis application has allowed proving the obtained classifications of social networks functions, taking into account the objects essential properties. It has also successfully recommended itself for deep knowledge acquisition; the basic hierarchy of classes, “good” classifications and ontologies creation; possesses predictive power, simple logically relevant structure, ensures the possibility of the correct inference on knowledge.	uk_UA
dc.identifier.citation	Bondarenko M. Systemological classification analysis in conceptual knowledge modeling / M. Bondarenko, N. Slipchenko, К. Solovyova, V. Bobrovska, A. Danilov // New Trends in Information Technologies. – 2010. – Number 1. – Рp. 169-176.	uk_UA
dc.identifier.isbn	978-954-16-0044-9
dc.identifier.uri	http://openarchive.nure.ua/handle/document/6094
dc.language.iso	en	uk_UA
dc.publisher	ITHEA	uk_UA
dc.subject	conceptual knowledge	uk_UA
dc.subject	artificial intelligence	uk_UA
dc.subject	hierarchy	uk_UA
dc.subject	systemology	uk_UA
dc.subject	social network	uk_UA
dc.subject	systemological classification analysis	uk_UA
dc.subject	knowledge	uk_UA
dc.subject	natural classification	uk_UA
dc.subject	ontology	uk_UA
dc.subject	systemological classification analysis	uk_UA
dc.subject	knowledge systematization	uk_UA
dc.title	Systemological classification analysis in conceptual knowledge modeling	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication