Quotation Hogan, Aidan, Blomqvist, Eva, Cochez, Michael, d Amato, Claudia, de Melo, Gerard, Gutierrez, Claudio, Kirrane, Sabrina, Labra Gayo, José Emilio, Navigli, Roberto, Neumaier, Sebastian, Ngonga Ngomo, Axel-Cyrille, Polleres, Axel, M. Rashid, Sabbir, Rula, Anisa, Schmelzeisen, Lukas, Sequeda, Juan, Staab, Steffen, Zimmermann, Antoine. 2021. Knowledge Graphs. USA: Morgan & Claypool.


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Abstract

This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced with notions of schema, identity, and context. The book discusses how ontologies and rules can be used to encode knowledge as well as how inductive techniques — based on statistics, graph analytics, machine learning, etc. — can be used to encode and extract knowledge. It covers techniques for the creation, enrichment, assessment, and refinement of knowledge graphs and surveys recent open and enterprise knowledge graphs and the industries or applications within which they have been most widely adopted. The book closes by discussing the current limitations and future directions along which knowledge graphs are likely to evolve. This book is aimed at students, researchers, and practitioners who wish to learn more about knowledge graphs and how they facilitate extracting value from diverse data at large scale. To make the book accessible for newcomers, running examples and graphical notation are used throughout. Formal definitions and extensive references are also provided for those who opt to delve more deeply into specific topics.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Book (monograph)
Language English
Title Knowledge Graphs
Location USA
Publisher Morgan & Claypool
Year 2021
URL https://kgbook.org/
ISBN 9781636392356
Open Access Y
Open Access Link https://arxiv.org/abs/2003.02320

Associations

People
Kirrane, Sabrina (Details)
Neumaier, Sebastian (Details)
Polleres, Axel (Details)
External
Blomqvist, Eva (Linköping University, Sweden)
Cochez, Michael (Vrije Universiteit Amsterdam, Netherlands)
d Amato, Claudia (University of Bari, Italy)
de Melo, Gerard (University of Potsdam, Germany)
Gutierrez, Claudio (Universidad de Chile, Chile)
Hogan, Aidan (Universidad de Chile, Chile)
Labra Gayo, José Emilio (Universidad de Oviedo, Spain)
M. Rashid, Sabbir (Tetherless World Constellation, Rensselaer Polytechnic Institute, United States/USA)
Navigli, Roberto (Sapienza University of Rome, Italy)
Ngonga Ngomo, Axel-Cyrille (Universität Paderborn, Germany)
Rula, Anisa (University of Brescia, Italy)
Schmelzeisen, Lukas (Universität Stuttgart, Germany)
Sequeda, Juan (Data.world, United States/USA)
Staab, Steffen (Universität Stuttgart, Germany)
Zimmermann, Antoine (École des mines de Saint-Étienne, France)
Organization
Institute for Information Systems and New Media IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1108 Informatics (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1138 Information systems (Details)
1146 Management information systems (Details)
5255 Data security and data privacy (Details)
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