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New Publication: Beleidsinformatica

New publication: Beleidsinformatica

New publication: The textbook "Wirtschaftsinformatik" by the authors Hans Robert Hansen, Jan Mendling and Gustaf Neumann has now also been published in Dutch. Benoît Depaire and Mieke Jans from the University of Hasselt were won over as co-authors for the Dutch version. The original German edition is considered the standard textbook for the German-speaking world and ranks #1 among business information systems books on Amazon. For students of WU Vienna, the book "Wirtschaftsinformatik" is still available free of charge in electronic form.

Further information on the Dutch edition can be found at the publisher's website.

New Book: Knowledge Graphs

Knowledge Graphs

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.


Links

Link to the publishers announcement:
https://twitter.com/MorganClaypool/status/1461376162249195525

Link to the book:
https://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1683

Link to a html version of the book:
https://kgbook.org/

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