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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.
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Journal articles
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Contributor : Florent Breuil <>
Submitted on : Wednesday, August 4, 2021 - 2:58:02 PM
Last modification on : Friday, August 6, 2021 - 3:07:52 AM

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



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