Knowledge Graphs (Record no. 84963)

000 -LEADER
fixed length control field 05742nam a22006975i 4500
001 - CONTROL NUMBER
control field 978-3-031-01918-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730163749.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2022 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031019180
-- 978-3-031-01918-0
082 04 - CLASSIFICATION NUMBER
Call Number 006.76
100 1# - AUTHOR NAME
Author Hogan, Aidan.
245 10 - TITLE STATEMENT
Title Knowledge Graphs
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIX, 237 p. 2 illus.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Data, Semantics, and Knowledge,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Preface -- Acknowledgments -- Introduction -- Data Graphs -- Schema, Identity, and Context -- Deductive Knowledge -- Inductive Knowledge -- Creation and Enrichment -- Quality Assessment -- Refinement -- Publication -- Knowledge Graphs in Practice -- Conclusions -- Bibliography -- Authors' Biographies.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Blomqvist, Eva.
700 1# - AUTHOR 2
Author 2 Cochez, Michael.
700 1# - AUTHOR 2
Author 2 d'Amato, Claudia.
700 1# - AUTHOR 2
Author 2 Melo, Gerard de.
700 1# - AUTHOR 2
Author 2 Gutierrez, Claudio.
700 1# - AUTHOR 2
Author 2 Kirrane, Sabrina.
700 1# - AUTHOR 2
Author 2 Labra Gayo, Jose Emilio.
700 1# - AUTHOR 2
Author 2 Navigli, Roberto.
700 1# - AUTHOR 2
Author 2 Neumaier, Sebastian.
700 1# - AUTHOR 2
Author 2 Polleres, Axel.
700 1# - AUTHOR 2
Author 2 Rashid, Sabbir.
700 1# - AUTHOR 2
Author 2 Rula, Anisa.
700 1# - AUTHOR 2
Author 2 Zimmermann, Antoine.
700 1# - AUTHOR 2
Author 2 Schmelzeisen, Lukas.
700 1# - AUTHOR 2
Author 2 Ngonga Ngomo, Axel-Cyrille.
700 1# - AUTHOR 2
Author 2 Sequeda, Juan.
700 1# - AUTHOR 2
Author 2 Staab, Steffen.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-01918-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2022.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Internet programming.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Ontology.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Web Development.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Ontology.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2691-2031
912 ## -
-- ZDB-2-SXSC

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