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008 220601s2020 sz | o |||| 0|eng d
020 _a9783031794902
024 7 _a10.1007/978-3-031-79490-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9 .I52
_b2020 EB
100 1 _aPo, Laura
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687732
245 1 0 _aLinked Data Visualization :
_bTechniques, Tools, and Big Data
_cby Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos
250 _a1st edition 2020
264 1 _aCham
_bSpringer International Publishing
_c2020
300 _a1 recurso en línea (XIV, 143 páginas)
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aSynthesis Lectures on Data Semantics and Knowledge
_x2691-2031
505 0 _aPreface -- Acknowledgments -- Introduction -- Principles of Data Visualization -- Linked Data Visualization Tools -- Visualization Use Cases -- Empirical Evaluation of Linked Data Visualization Tools -- Conclusions and Future Challenges -- Bibliography -- Authors' Biographies.
520 _aLinked 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.
988 _aSynthesis Collection of Technology_2020
650 7 _2embne
_9145622
_aSistemas de visualización de información
650 7 _2embne
_9506007
_aDatos enlazados
700 1 _aBikakis, Nikos
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687733
700 1 _aDesimoni, Federico
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687734
700 1 _aPapastefanatos, George
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9687735
776 0 8 _iPrinted edition:
_z9783031794919
776 0 8 _iPrinted edition:
_z9783031794896
776 0 8 _iPrinted edition:
_z9783031794926
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79490-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2023
_dz
_eb
_zSI