2020

Knowledge Graphs

Hogan, Aidan, Blomqvist, Eva, Cochez, Michael et al.

Understand

In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data.

After some opening remarks, we motivate and contrast various graph-based data models and query languages that are used for knowledge graphs.
We discuss the roles of schema, identity, and context in knowledge graphs.
We explain how knowledge can be represented and extracted using a combination of deductive and inductive techniques.

Built on

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