DocumentCode
262652
Title
Collective Ontologies Design and Development
Author
Gavrilova, Tatiana A. ; Leshcheva, Irina A.
Author_Institution
Grad. Sch. of Manage., St.-Petersburg Univ., St. Petersburg, Russia
fYear
2014
fDate
2-4 July 2014
Firstpage
564
Lastpage
569
Abstract
The paper presents the research performed within the KOMET (Knowledge and content structuring via Methods of collaborative ontology design) project targeted at of a new structuring paradigm design for data and knowledge. Such approach is formed with regard to individual cognitive styles and it uses recent advances in knowledge engineering and conceptual structuring, aimed at creating new consistent and structurally holistic knowledge bases for the various areas of science and technology. Three stages of research have been done within the project. The results of these research stages described in the paper can be applied to organizing the collaborative ontology design (especially for research and learning purposes), data structuring and other group analytical work. Some implications for practice are proposed.
Keywords
data handling; ontologies (artificial intelligence); KOMET project; cognitive style; collective ontologies development; conceptual structuring; data structuring; group analytical work; holistic knowledge base; knowledge and content structuring via methods of collaborative ontology design; knowledge engineering; structuring paradigm design; Computer science; Correlation; Measurement; Merging; Ontologies; Visualization; cognitive styles; collective ontology design;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex, Intelligent and Software Intensive Systems (CISIS), 2014 Eighth International Conference on
Conference_Location
Birmingham
Print_ISBN
978-1-4799-4326-5
Type
conf
DOI
10.1109/CISIS.2014.82
Filename
6915575
Link To Document