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Journal Articles ACM Computing Surveys Year : 2021

Knowledge Graphs

Abstract

In this article, 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, as well as languages used to query and validate knowledge graphs. We explain how knowledge can be represented and extracted using a combination of deductive and inductive techniques. We conclude with high-level future research directions for knowledge graphs.

Dates and versions

emse-03313702 , version 1 (04-08-2021)

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Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D’amato, Gerard De Melo, et al.. Knowledge Graphs. ACM Computing Surveys, 2021, 54 (4), pp.1-37. ⟨10.1145/3447772⟩. ⟨emse-03313702⟩
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