Knowledge graphs

By:

Hogan, Aidan and [et al.]

Series: Synthesis lectures on data, semantics, and knowledgePublication details: Morgan and Claypool, 2022. London:Description: xix, 237p.; pbk; 24cmISBN:

9781636392356

Subject(s):

DDC classification:

001.4226 HOG

Summary: 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. https://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1683

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar	General	001.4226 HOG (Browse shelf(Opens below))	1	Available		031260

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Previous	001.4226 CAI How charts lie: getting smarter about visual information	001.4226 DIC Infographic: a history of data graphics in news and communications	001.4226 HEA Making numbers count	001.4226 HOG Knowledge graphs	001.4226 KNA Storytelling with data: a data visualization guide for business professionals	001.4226 NEW Data visualization for design thinking : applied mapping	001.4226 RAN Impactful data visualization: hide and seek with graphs	Next

Includes bibliography

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.

https://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1683

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