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The Semantic Web - 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3-7, 2018, Proceedings (Paperback, 1st ed. 2018)
Aldo Gangemi, Roberto Navigli, Maria Esther Vidal, Pascal Hitzler, Raphael Troncy, …
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R1,543
Discovery Miles 15 430
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Ships in 18 - 22 working days
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This book constitutes the refereed proceedings of the 15th
International Semantic Web Conference, ESWC 2018, held in
Heraklion, Crete, Greece. The 48 revised full papers presented were
carefully reviewed and selected from 179 submissions. The papers
cover a large range of topics such as logical modelling and
reasoning, natural language processing, databases and data storage
and access, machine learning, distributed systems, information
retrieval and data mining, social networks, and Web science and Web
engineering.
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Knowledge Graphs (Paperback)
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D'Amato, Gerard de Melo, …
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R1,981
Discovery Miles 19 810
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Ships in 18 - 22 working days
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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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