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020 _a9783031794902
_9978-3-031-79490-2
024 7 _a10.1007/978-3-031-79490-2
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
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082 0 4 _a510
_223
100 1 _aPo, Laura.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981890
245 1 0 _aLinked Data Visualization
_h[electronic resource] :
_bTechniques, Tools, and Big Data /
_cby Laura Po, Nikos Bikakis, Federico Desimoni, George Papastefanatos.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIV, 143 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aMathematics.
_911584
650 0 _aInternet programming.
_935503
650 0 _aApplication software.
_981891
650 0 _aComputer networks .
_931572
650 0 _aOntology.
_95277
650 1 4 _aMathematics.
_911584
650 2 4 _aWeb Development.
_935505
650 2 4 _aComputer and Information Systems Applications.
_981892
650 2 4 _aComputer Communication Networks.
_981893
650 2 4 _aOntology.
_95277
700 1 _aBikakis, Nikos.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981894
700 1 _aDesimoni, Federico.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981895
700 1 _aPapastefanatos, George.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981896
710 2 _aSpringerLink (Online service)
_981897
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783031794896
776 0 8 _iPrinted edition:
_z9783031794926
830 0 _aSynthesis Lectures on Data, Semantics, and Knowledge,
_x2691-2031
_981898
856 4 0 _uhttps://doi.org/10.1007/978-3-031-79490-2
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