Abstract

The paper presents an approach for visual analysis and structuring of Big Data based on the principles of ontological engineering and cognitive psychology. Ontologies are to be used as a basis for big data volumes of information, we tried to follow the principle of good shape. The data structuring procedure is the key element of any model design and development. The suggested methodology proposes better vision and understanding of huge amounts of business information. Ontologies that describe the main concepts of exemplary domains are used both for deeper comprehension and better information sharing. The application of this methodology is considered for the business data on global entrepreneurship monitoring.
Original languageEnglish
Title of host publicationProceedings of the Symposium Automated Systems and Technologies AST 2015
PublisherИздательство Санкт-Петербургского Государственного Политехнического Университета
Pages59-67
Publication statusPublished - 2015

Fingerprint Dive into the research topics of 'Visual Models For Big Data Analysis'. Together they form a unique fingerprint.

Cite this