Semantic knowledge graph technologies in data science

Abstract

Knowledge graphs, the representation of data as just a semantic graph, had already garnered considerable attention in both the academia and industry worlds. Their ability to provide semantically appropriate data had already made significant reasonable solutions to several tasks, such as solving problems, guidance and knowledge representation, and has been considered to be a tremendous potential to several researchers to develop the most advanced technology. Even though numerous "Big Data" applications have been already facilitated in all kinds of commercial and science domains through information graphs but limits of effectiveness have been met by the document-centric frameworks of research. Recent controversies on the growing abundance of research journals and the issue of accuracy have stressed everything. This creates an opportunity to reconsider the prevailing view of communications of document center research scholars and turn it into a flow of information based on experience by depicting and transferring knowledge via semantic-based interconnected knowledge graphs. The development and advancement of information systems create a shared understanding of knowledge exchanged among users. The methods of query and exchange of data in the learning center of the world are at the center of the knowledge-based flow of data. By incorporating these frameworks into current and new science technology services, the knowledge structures that are now latent and profoundly concealed in documentation can be completely visible and right accessible. It would have the possibility to transform data science effort, as knowledge and analysis findings can be easily interrelated and ideally suited to diverse information requirements. In comparison, experimental findings are exactly equivalent and simpler to replicate. In this chapter, the conception of a knowledge graph for data science describes the potential framework for knowledge graph technologies and initial attempts to incorporate the framework.