Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
Building Collaborative Ontologies: A Human Factors Approach. / Gavrilova, T.A.; Leshcheva, I.A.
Collaborative Knowledge in Scientific Research Networks/Diviacco P., Fox P., Pshenichny C., Leadbetter A. - IGI publishing, USA, 2014.. IGI Global, 2014. p. 305-324.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
}
TY - CHAP
T1 - Building Collaborative Ontologies: A Human Factors Approach
AU - Gavrilova, T.A.
AU - Leshcheva, I.A.
N1 - Gavrilova, T.A. Building Collaborative Ontologies: A Human Factors Approach / T. A. Gavrilova, I. A. Leshcheva // Collaborative Knowledge in Scientific Research Networks. - IGI publishing, USA, 2014. - P. 305-324.
PY - 2014
Y1 - 2014
N2 - The chapter describes the research performed within the KOMET (Knowledge and cOntent structuring via METhods of collaborative ontology design) project, which was aimed at developing a new paradigm for knowledge structuring. By knowledge structure, the authors define the main domain concepts and relations between them in a form of graph, map, or diagram. The approach considers the specifics of individual cognitive style. Two stages of research have been completed: research into correlations between the expert's individual cognitive style and the peculiarities of expert's subject domain ontology development; and study of correlations between the expert's individual cognitive style and the group ontology design (including the design performed in groups consisting of experts either of similar or of different cognitive styles). The results of this work can be applied to organizing collaborative ontology design (especially for research and learning purposes), data structuring, and other group analytical work. Impli
AB - The chapter describes the research performed within the KOMET (Knowledge and cOntent structuring via METhods of collaborative ontology design) project, which was aimed at developing a new paradigm for knowledge structuring. By knowledge structure, the authors define the main domain concepts and relations between them in a form of graph, map, or diagram. The approach considers the specifics of individual cognitive style. Two stages of research have been completed: research into correlations between the expert's individual cognitive style and the peculiarities of expert's subject domain ontology development; and study of correlations between the expert's individual cognitive style and the group ontology design (including the design performed in groups consisting of experts either of similar or of different cognitive styles). The results of this work can be applied to organizing collaborative ontology design (especially for research and learning purposes), data structuring, and other group analytical work. Impli
KW - РИНЦ
KW - SCOPUS
U2 - 10.4018/978-1-4666-6567-5.ch015
DO - 10.4018/978-1-4666-6567-5.ch015
M3 - Chapter
SN - 9781466665682; 146666567X; 9781466665675
SP - 305
EP - 324
BT - Collaborative Knowledge in Scientific Research Networks/Diviacco P., Fox P., Pshenichny C., Leadbetter A. - IGI publishing, USA, 2014.
PB - IGI Global
ER -
ID: 7036855