2020/03/04 by Aidan Hogan, Eva Blomqvist, Michael Cochez +17 · 3 voices · 118 citations
Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Data Quality and Management #Machine Learning and Algorithms
paper · pdf · doi:10.1145/3447772
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.