A Knowledge Graph-Based Method for Automating Systematic Literature Reviews

Systematic Literature Reviews aim at investigating current approaches to conclude a research gap or determine futuristic approach. They represent significant part of activity, from which new concepts stem. However, with the massive availability publications rapid growing rate, especially digitally, it becomes challenging efficiently screen and assess relevant publications. Another challenge is continuous assessment related work over long period time consequent need for update, can be time-consuming task. Knowledge graphs model entities in connected manner enable insights using different reasoning analysis methods. The objective this present an approach partially automate conduction Review as well classify visualize results knowledge graph. designed software prototype was used review on context-awareness automation systems considerably accurate compared manual conduction.