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Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens.
This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios.
The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization.
Über die Autorin bzw. den Autor: Laura Po is an Associate Professor in the ""Enzo Ferrari"" Engineering Department at the University of Modena and Reggio Emilia, Italy. She obtained a Ph.D. in Computer Engineering and Science from the University of Modena and Reggio Emilia in 2009. She has given several tutorials at ISWC Conference in 2018 and at the second and third edition of the Keystone Training School in 2016 and 2017 on linked data tools, emphasizing practical ways to put linked data to use. She is a lecturer of Semantic Web (since 2011) and Database courses (since 2009) at the University of Modena and Reggio Emilia. She has authored approximately 40 publications in journals and proceedings of national and international conferences. Her research interests focus on data integration, metadata extraction, Semantic Web, NLP, linked data, open government data, and the smart city. She is leading a European Research Project on OpenData for Smart Cities called TRAFAIR ""Understanding traffic flows to improve air quality"" (www.trafair.eu). She co-founded the DataRiver S.r.l. n 2009, doing the Spin-Off designs and developing solutions for data integration using techniques from research in the field of the Semantic Web.
Titel: Linked Data Visualization: Techniques, Tools...
Verlag: Springer
Erscheinungsdatum: 2020
Einband: Hardcover
Zustand: New
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Buch. Zustand: Neu. Neuware -Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens.This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios.The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch. Artikel-Nr. 9783031794919
Anzahl: 2 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains. The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens.This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios.The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization. Artikel-Nr. 9783031794919
Anzahl: 1 verfügbar