Abstract Knowledge Graphs (KGs) have gained considerable attention recently from both
academia and industry. In fact, incorporating graph technology and the copious of various
graph datasets have led the research community to build sophisticated graph analytics tools,
which has extended the application of KGs to tackle a plethora of real-life problems in
dissimilar domains. Despite the abundance of the currently proliferated generic KGs, there is
a vital need to construct domain-specific KGs. Further, quality and credibility should be�…