Knowledge Graphs

doi:10.1145/3447772

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Knowledge Graphs

2021-07-02

449

José Emilio Labra Gayo

Roberto Navigli

Sebastian Neumaier

Axel-Cyrille Ngonga Ngomo

DOI：10.1145/3447772

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Abstract

En 中文

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.

Keywords:

Knowledge graphs

graph databases

graph query languages

shapes

ontologies

graph algorithms

embeddings

graph neural networks

rule mining

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