title: Ontology design and individual cognitive peculiarities: A pilot study
metadata.name: dc.contributor.author
metadata.value: Gavrilova, Tatiana A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Leshcheva, Irina A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2015-03-19T12:29:44Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2015-03-19T12:29:44Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2015-05-15
metadata.lang: -
metadata.name: dc.identifier.issn
metadata.value: 0957-4174
metadata.lang: -
metadata.name: dc.identifier.other
metadata.value: doi:10.1016/j.eswa.2015.01.008
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://www.sciencedirect.com/science/article/pii/S0957417415000238#
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/1409
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The paper presents the main results of the KOMET (Knowledge and cOntent structuring via METhods of collaborative ontology design) project, which aims to develop a novel paradigm for knowledge structuring based on the interplay between cognitive psychology and ontology engineering. By the knowledge structure (a conceptual model) we define the main domain concepts and relations between them in the form of a graph, map or diagram. This approach considers individual cognitive styles and uses recent advances in knowledge engineering and conceptual structuring; it aims to create new, consistent and structurally holistic knowledge bases for various areas of science and technology. Two stages of research have been completed: research into correlations between the expert’s individual cognitive style and the peculiarities of the expert’s subject domain ontology development; and research into correlations between the expert’s individual cognitive style and the group ontology design (including design accomplished by groups of experts with either similar or different cognitive styles). The results of these research stages can be applied to organizing collaborative ontology design (especially for research and learning purposes), data structuring and other group analytical work. Implications for practice are briefly delineated.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: English
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Expert Systems with Applications;Volume 42, Issue 8
metadata.lang: -
metadata.name: dc.subject
metadata.value: ontologies
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: knowledge engineering
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cognitive style
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: conceptual structuring
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: collaborative design
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cognitive ergonomics
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Ontology design and individual cognitive peculiarities: A pilot study
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
metadata.name: dcterms.publisher
metadata.value: Elsevier
metadata.lang: -