LEADER 06358nam 22011535 450 001 9910413442003321 005 20230125184330.0 010 $a3-030-53199-6 024 7 $a10.1007/978-3-030-53199-7 035 $a(CKB)4100000011343455 035 $a(DE-He213)978-3-030-53199-7 035 $a(MiAaPQ)EBC6420155 035 $a(Au-PeEL)EBL6420155 035 $a(OCoLC)1182514157 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/28210 035 $a(PPN)254985149 035 $a(EXLCZ)994100000011343455 100 $a20200715d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKnowledge Graphs and Big Data Processing /$fedited by Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger 205 $a1st ed. 2020. 210 $cSpringer Nature$d2020 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XI, 209 p. 39 illus., 32 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v12072 311 $a3-030-53198-8 327 $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. 330 $aThis open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v12072 606 $aDatabase management 606 $aApplication software 606 $aArtificial intelligence 606 $aComputer logic 606 $aManagement information systems 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aLogic in AI$3https://scigraph.springernature.com/ontologies/product-market-codes/I21020 606 $aComputer Appl. in Administrative Data Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/I2301X 606 $aBusiness Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/522030 610 $aDatabase Management 610 $aInformation Systems Applications (incl. Internet) 610 $aLogic in AI 610 $aComputer Appl. in Administrative Data Processing 610 $aBusiness Information Systems 610 $aComputer and Information Systems Applications 610 $aComputer Application in Administrative Data Processing 610 $aartificial intelligence 610 $abig data 610 $adata analytics 610 $adata handling 610 $adata integration 610 $adata mining 610 $adatabases 610 $adigital storage 610 $adomain knowledge 610 $agraph theory 610 $ainformation management 610 $ainformation technology 610 $aintegrated data 610 $ainternet 610 $aknowledge management 610 $aknowledge-based system 610 $aontologies 610 $asemantics 610 $aDatabases 610 $aDatabase programming 610 $aInformation retrieval 610 $aInternet searching 610 $aArtificial intelligence 610 $aPublic administration 610 $aInformation technology: general issues 610 $aBusiness mathematics & systems 615 0$aDatabase management. 615 0$aApplication software. 615 0$aArtificial intelligence. 615 0$aComputer logic. 615 0$aManagement information systems. 615 14$aDatabase Management. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aLogic in AI. 615 24$aComputer Appl. in Administrative Data Processing. 615 24$aBusiness Information Systems. 676 $a005.74 700 $aJanev$b Valentina$4edt$01354801 702 $aJanev$b Valentina$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGraux$b Damien$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJabeen$b Hajira$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSallinger$b Emanuel$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910413442003321 996 $aKnowledge Graphs and Big Data Processing$93358277 997 $aUNINA