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_c387683 _d387683 |
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| 001 | 387683 | ||
| 003 | ES-MaUEC | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 220601s2020 sz | o |||| 0|eng d | ||
| 020 | _a9783031794902 | ||
| 024 | 7 |
_a10.1007/978-3-031-79490-2 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 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 |
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