San Jose State University

University of Michigan - Ann Arbor

Knowledge graph utilizes NLP to construct a view of nodes and edges through the process of semantic enrichment.

Knowledge Graph in NLP

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

Entities are real world objects or abstract concepts
Examples are person, books, movies, physics, theory of relativity etc

Entities are represented as graphs and relations are represented as edges.


Entities and Relations  

Knowledge graph is synonymous to knowledge base, where the latter have proper semantics connecting facts and their relations through semantic descriptions.

Knowledge Base

Research on knowledge graph are categorized into

 - Knowledge representation learning
 - Knowledge acquisition
 - Temporal knowledge graph
 - Knowledge -aware applications


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