Using Knowledge Graphs and Cognitive Approaches for Literature Review Analysis: A Framework

摘要

Advancements in research tools and databases have accelerated the scientific research life cycle. However, the chronological gap between published research, research in progress and emerging research topics is shrinking, thus putting pressure on researchers to find novel research ideas. The Literature Review (LR) process is a fundamental process that can identify gaps in the research literature and stimulate new research ideas. While many researchers adopt different methodologies conducting LR, there is no methodology that can comprehensively unveil innovative research ideas. This research aims to develop a search by concepts framework. The framework involves the use of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Question Answering systems (QA) to ease finding relevant concepts related to a certain scientific topic along with associated files and citations that would in return maximize the efficiency of the scientific research. The framework also allows researchers to visualize the connection between different concepts similar to the cognitive imaging of the human mind.