Research Article
Recent Trends in Knowledge Graphs and its Applications
@INPROCEEDINGS{10.4108/eai.14-5-2022.2318897, author={S. Kannadhasan and R. Nagarajan}, title={Recent Trends in Knowledge Graphs and its Applications}, proceedings={Proceedings of the International Conference on Intelligent Technologies in Security and Privacy for Wireless Communication, ITSPWC 2022, 14-15 May 2022, Karur, Tamilnadu, India}, publisher={EAI}, proceedings_a={ITSPWC}, year={2022}, month={8}, keywords={machine learning knowledge graph and neural network}, doi={10.4108/eai.14-5-2022.2318897} }
- S. Kannadhasan
R. Nagarajan
Year: 2022
Recent Trends in Knowledge Graphs and its Applications
ITSPWC
EAI
DOI: 10.4108/eai.14-5-2022.2318897
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
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