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.

Keywords

Affiliated Institutions

• Paderborn University DE
• University of Southampton GB
• Universidad de Oviedo ES
• University of Chile CL
• University of Milano-Bicocca IT
• Sapienza University of Rome IT
• University of Bonn DE
• Linköping University SE
• Vienna University of Economics and Business AT
• Rensselaer Polytechnic Institute US
• RELX Group (Netherlands) NL
• University of Bari Aldo Moro IT
• Rutgers, The State University of New Jersey US
• University of Stuttgart DE
• Mines Saint-Étienne FR

Related Publications