Knowledge Graphs
Hogan Aidan
(1)
,
Eva Blomqvist
(2)
,
Michael Cochez
(3)
,
Claudia d'Amato
(4)
,
Gerard de Melo
(5)
,
Claudio Gutiérrez
(1)
,
Jose Emilio Labra Gayo
(6)
,
Sabrina Kirrane
(7)
,
Sebastian Neumaier
(7)
,
Axel Polleres
(7)
,
Roberto Navigli
(8)
,
Axel-Cyrille Ngonga Ngomo
(9)
,
Sabbir M. Rashid
(10)
,
Anisa Rula
(11, 12)
,
Lukas Schmelzeisen
(13)
,
Juan Sequeda
,
Steffen Staab
(14, 15)
,
Antoine Zimmermann
(16, 17, 18, 19)
1
IMFD -
Millennium Institute for Foundational Research on Data
2 Department of Computer and Information Science - Linköping University
3 Computer Systems Section - Vrije Universiteit Amsterdam
4 UNIBA - Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro
5 Rutgers - Rutgers University System
6 Universidad de Oviedo = University of Oviedo
7 WU Vienna
8 Sapienza University of Rome - Department of Informatics and System Sciences
9 UPB - Universität Paderborn
10 Tetherless World Constellation
11 UNIMIB - Università degli Studi di Milano-Bicocca = University of Milano-Bicocca
12 Universität Bonn = University of Bonn
13 Universität Koblenz-Landau [Koblenz]
14 Universität Stuttgart [Stuttgart]
15 University of Southampton
16 Mines Saint-Étienne MSE - École des Mines de Saint-Étienne
17 LabHC - Laboratoire Hubert Curien
18 FAYOL-ENSMSE - Institut Henri Fayol
19 FAYOL-ENSMSE - Département Informatique et systèmes intelligents
2 Department of Computer and Information Science - Linköping University
3 Computer Systems Section - Vrije Universiteit Amsterdam
4 UNIBA - Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro
5 Rutgers - Rutgers University System
6 Universidad de Oviedo = University of Oviedo
7 WU Vienna
8 Sapienza University of Rome - Department of Informatics and System Sciences
9 UPB - Universität Paderborn
10 Tetherless World Constellation
11 UNIMIB - Università degli Studi di Milano-Bicocca = University of Milano-Bicocca
12 Universität Bonn = University of Bonn
13 Universität Koblenz-Landau [Koblenz]
14 Universität Stuttgart [Stuttgart]
15 University of Southampton
16 Mines Saint-Étienne MSE - École des Mines de Saint-Étienne
17 LabHC - Laboratoire Hubert Curien
18 FAYOL-ENSMSE - Institut Henri Fayol
19 FAYOL-ENSMSE - Département Informatique et systèmes intelligents
Claudia d'Amato
- Fonction : Auteur
- PersonId : 969102
Juan Sequeda
- Fonction : Auteur
Steffen Staab
- Fonction : Auteur
- PersonId : 982851
Antoine Zimmermann
- Fonction : Auteur
- PersonId : 4097
- IdHAL : antoine-zimmermann
- ORCID : 0000-0003-1502-6986
- IdRef : 133375676
Résumé
In this paper 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 and query languages that are used for knowledge graphs. We discuss the roles of schema, identity, and context in knowledge graphs. We explain how knowledge can be represented and extracted using a combination of deductive and inductive techniques. We summarise methods for the creation, enrichment, quality assessment, refinement, and publication of knowledge graphs. We provide an overview of prominent open knowledge graphs and enterprise knowledge graphs, their applications, and how they use the aforementioned techniques. We conclude with high-level future research directions for knowledge graphs.