Abstract
Research is crucial in today’s environment since it helps to ensure our safety and comfort. Years of study, investigation, and experimentation go into every piece of research, and even seasoned experts have challenges when first trying to pinpoint a research gap or identify a prospective strategy. İt is highly essential to have knowledge-based system which eases the effort of researchers in identifying the research area and their work. Knowledge graphs are one of the efficient technologies for creating knowledge systems. It is a form of graph data used to store and share information about the physical world. Knowledge graphs are widely acknowledged to be an effective means of representing complex information. İn this paper, we are discussing various solutions to the problem like (i) recommending experts in the corresponding domain, (ii) a systematic literature review, and finally (iii) the hotness prediction of topic with the help of knowledge graph and showing how knowledge graph represents the data very effectively in the context of big data.
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Jyothi, B., Subbulakshmi, S., Elngar, A.A. (2024). Efficacy of Knowledge Graphs to Systematize Primitive Research Methodology. In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SmartCom 2024 2024. Lecture Notes in Networks and Systems, vol 948. Springer, Singapore. https://doi.org/10.1007/978-981-97-1329-5_29
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DOI: https://doi.org/10.1007/978-981-97-1329-5_29
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