Designing Big Data Environment for Knowledge Collaboration
Shalini Bhaskar Bajaj
Department of Computer Science and Engineering Amity University Haryana , IN
Keywords: big data environment ；demand discovery ；knowledge collaboration ；knowledge discovery ；excitement requirements
Abstract
Knowledge demands of the researchers are composed of three levels, that is, basic demands, expectations and excitement requirements. Among these the excitement requirements play a decisive role in the knowledge collaboration and innovation. Based on the big data environment, the research on knowledge collaboration is carried out for scientific researcher’s which includes three aspects as follows. Firstly, a huge amount of scientific data of researchers is added to the big data environment and then a deep mining and analysis are made in order to extract the qualities of knowledge which represent the academic abilities of researchers and finally to build a database that stores the knowledge qualities of researchers. Secondly, a set of researcher’s demands are built by use of the behavioral and active data of researchers. The model of applying knowledge discovery will excavate the different levels of research needs of researchers from the discrete data of research groups. On this basis a mapping model between the knowledge and demands of researchers is established. Therefore, the suitable knowledge will be passed to the appropriate researchers at the right time by means of knowledge discovery system which will facilitate the accomplishment of the knowledge collaboration between knowledge and scientific researchers. Thirdly, by the establishment of a mapping model between the set of scientific researcher’s
demands and qualities of knowledge, the knowledge collaboration between a scientific researchers and another researcher will be accomplished
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