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dc.contributor.editorJanev, Valentina
dc.contributor.editorGraux, Damien
dc.contributor.editorJabeen, Hajira
dc.contributor.editorSallinger, Emanuel
dc.description.abstractThis 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.
dc.relation.ispartofseriesLecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI
dc.rightsopen access
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databasesen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrievalen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.classificationthema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administrationen_US
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systemsen_US
dc.subject.otherDatabase Management
dc.subject.otherInformation Systems Applications (incl. Internet)
dc.subject.otherLogic in AI
dc.subject.otherComputer Appl. in Administrative Data Processing
dc.subject.otherBusiness Information Systems
dc.subject.otherComputer and Information Systems Applications
dc.subject.otherComputer Application in Administrative Data Processing
dc.subject.otherartificial intelligence
dc.subject.otherbig data
dc.subject.otherdata analytics
dc.subject.otherdata handling
dc.subject.otherdata integration
dc.subject.otherdata mining
dc.subject.otherdigital storage
dc.subject.otherdomain knowledge
dc.subject.othergraph theory
dc.subject.otherinformation management
dc.subject.otherinformation technology
dc.subject.otherintegrated data
dc.subject.otherknowledge management
dc.subject.otherknowledge-based system
dc.subject.otherDatabase programming
dc.subject.otherInformation retrieval
dc.subject.otherInternet searching
dc.subject.otherArtificial intelligence
dc.subject.otherPublic administration
dc.subject.otherInformation technology: general issues
dc.subject.otherBusiness mathematics & systems
dc.titleKnowledge Graphs and Big Data Processing
oapen.collectionEuropean Research Council (ERC)
dc.relationisFundedByH2020 European Research Council

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Except where otherwise noted, this item's license is described as open access