Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Measuring Psychological Impact on Group Ontology Design and Development: An Empirical Approach. / Gavrilova, T.; Bolotnikova, E.; Leshcheva, I.; Blagov, E.; Yanson, A.
International Conference on Knowledge Engineering and the Semantic Web KESW 2013: Knowledge Engineering and the Semantic Web. Springer Nature, 2013. стр. 29-43.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Measuring Psychological Impact on Group Ontology Design and Development: An Empirical Approach
AU - Gavrilova, T.
AU - Bolotnikova, E.
AU - Leshcheva, I.
AU - Blagov, E.
AU - Yanson, A.
N1 - Gavrilova, T. Measuring Psychological Impact on Group Ontology Design and Development: Empirical Approach / T. Gavrilova, I. Leshcheva,E. Bolotnikova, E. Blagov, A. Yanson. - Springer Nature, 2013. - Volume 394. - P. 39-43.
PY - 2013
Y1 - 2013
N2 - This paper describes the interdisciplinary problems of group ontology design. It highlights the importance of studying individual features of cognitive style and their influence on the specifics of collaborative group ontology design and development. The paper describes the preliminary results of the research project focused on working out a new paradigm for structuring data and knowledge with respect to individual cognitive styles, using recent advances in knowledge engineering and conceptual structuring, aimed at creating new consistent and structurally holistic knowledge bases for various domains. The results of this research effort can be applied to organizing the group ontology design (especially for learning purposes), data structuring and other collaborative analytical work. © Springer-Verlag Berlin Heidelberg 2013.
AB - This paper describes the interdisciplinary problems of group ontology design. It highlights the importance of studying individual features of cognitive style and their influence on the specifics of collaborative group ontology design and development. The paper describes the preliminary results of the research project focused on working out a new paradigm for structuring data and knowledge with respect to individual cognitive styles, using recent advances in knowledge engineering and conceptual structuring, aimed at creating new consistent and structurally holistic knowledge bases for various domains. The results of this research effort can be applied to organizing the group ontology design (especially for learning purposes), data structuring and other collaborative analytical work. © Springer-Verlag Berlin Heidelberg 2013.
KW - WOS
KW - SCOPUS
KW - РИНЦ
U2 - 10.1007/978-3-642-41360-5_3
DO - 10.1007/978-3-642-41360-5_3
M3 - Conference contribution
SN - 9783642413599
SP - 29
EP - 43
BT - International Conference on Knowledge Engineering and the Semantic Web KESW 2013: Knowledge Engineering and the Semantic Web
PB - Springer Nature
ER -
ID: 97152533