000 | 04447nam a22006375i 4500 | ||
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001 | 978-3-030-53199-7 | ||
003 | DE-He213 | ||
005 | 20240507155720.0 | ||
007 | cr nn 008mamaa | ||
008 | 200715s2020 sz | s |||| 0|eng d | ||
020 |
_a9783030531997 _9978-3-030-53199-7 |
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024 | 7 |
_a10.1007/978-3-030-53199-7 _2doi |
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072 | 7 |
_aUN _2bicssc |
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_aCOM021000 _2bisacsh |
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_a005.74 _223 |
245 | 1 | 0 |
_aKnowledge Graphs and Big Data Processing _h[electronic resource] / _cedited by Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
|
300 |
_aXI, 209 p. 39 illus., 32 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aInformation Systems and Applications, incl. Internet/Web, and HCI, _x2946-1642 ; _v12072 |
|
505 | 0 | _aFoundations -- Chapter 1. Ecosystem of Big Data -- Chapter 2. Knowledge Graphs: The Layered Perspective -- Chapter 3. Big Data Outlook, Tools, and Architectures -- Architecture -- Chapter 4. Creation of Knowledge Graphs -- Chapter 5. Federated Query Processing -- Chapter 6. Reasoning in Knowledge Graphs: An Embeddings Spotlight -- Methods and Solutions -- Chapter 7. Scalable Knowledge Graph Processing using SANSA -- Chapter 8. Context-Based Entity Matching for Big Data -- Applications -- Chapter 9. Survey on Big Data Applications -- Chapter 10. Case Study from the Energy Domain. | |
506 | 0 | _aOpen Access | |
520 | _aThis open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required. | ||
650 | 0 | _aDatabase management. | |
650 | 0 | _aApplication software. | |
650 | 0 | _aLogic programming. | |
650 | 0 |
_aInformation technology _xManagement. |
|
650 | 0 | _aBusiness information services. | |
650 | 1 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
650 | 2 | 4 | _aLogic in AI. |
650 | 2 | 4 | _aComputer Application in Administrative Data Processing. |
650 | 2 | 4 | _aBusiness Information Systems. |
700 | 1 |
_aJanev, Valentina. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aGraux, Damien. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aJabeen, Hajira. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aSallinger, Emanuel. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030531980 |
776 | 0 | 8 |
_iPrinted edition: _z9783030532000 |
830 | 0 |
_aInformation Systems and Applications, incl. Internet/Web, and HCI, _x2946-1642 ; _v12072 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-53199-7 |
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