Recent Trends in Knowledge Graphs and its Applications

Abstract

: In the area of the Intelligent Network, the representations of an information graph have sparked a lot of research interest. Language-based approaches treat each relationship as a single translation from head to tail like Trans E, Trans H and Trans R are simple, efficient and achieving the art state efficiency. Information graphs convey knowledge as a graph with marked edges (relationships) between nodes (entities). The completion of the information graph is an essential activity aimed at predicting the missing relationship between entities.