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Knowledge Graphs
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DOI：10.1145/3447772.png)
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摘要
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.
Keyword:
Knowledge graphs
graph databases
graph query languages
shapes
ontologies
graph algorithms
embeddings
graph neural networks
rule mining
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期刊
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28
论文数:
2.5K
被引数:
3.5W
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DBpedia - A large-scale, multilingual knowledge base extracted from WikipediaDBpedia-从维基百科中提取的大规模多语言知识库.png)
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