Knowledge Graphs

Aidan Hogan, Eva Blomqvist, Michael Cochez, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann, Claudia d Amato

Publikation: Wissenschaftliche FachzeitschriftOriginalbeitrag in FachzeitschriftBegutachtung

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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.
OriginalspracheEnglisch
Seiten (von - bis)1 - 37
FachzeitschriftACM Computing Surveys
Jahrgang54
DOIs
PublikationsstatusVeröffentlicht - 2021

Österreichische Systematik der Wissenschaftszweige (ÖFOS)

  • 102
  • 102001 Artificial Intelligence
  • 102015 Informationssysteme
  • 502050 Wirtschaftsinformatik
  • 505002 Datenschutz

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