Big Data Structuring: The Role of Visual Models and Ontologies

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• 作者：Tatiana Gavrilova ; Margarita Gladkova ; ^{gladkova@gsom.pu.ru" class="auth_mail}
• 刊名：Procedia Computer Science
• 出版年：2014
• 年：2014
• 卷：31
• 期：Complete
• 页码：336-343
• 全文大小：691 K

文摘

This paper presents a novel approach aimed at analyzing the leading role of the visual structuring strategies of Big Data based on the principles of ontological engineering and cognitive psychology. It is targeted at the development of methodology scaffolding the process of data structuring for the better vision and understanding of huge amounts of business information. The structuring procedure is the kernel of any data model design and development. Ontologies that describe the main concepts of exemplary domains are used both for deeper comprehension and better information sharing. The main stress is put on using visual techniques of mind-mapping that serve as a powerful mind tool. Cognitive bias and some results of Gestalt psychology are highlighted. The ideas of balance, clarity, and beauty are applied to the ontology design and refinement procedures.