Knowledge Graphs and Big Data Processing

Přispěvatelé: Janev, Valentina, Graux, Damien, Jabeen, Hajira, Sallinger, Emanuel
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Database Management
Information Systems Applications (incl. Internet)
Logic in AI
Computer Appl. in Administrative Data Processing
Business Information Systems
Computer and Information Systems Applications
Computer Application in Administrative Data Processing
artificial intelligence
big data
data analytics
data handling
data integration
data mining
databases
digital storage
domain knowledge
graph theory
information management
information technology
integrated data
internet
knowledge management
knowledge-based system
ontologies
semantics
Databases
Database programming
Information retrieval
Internet searching
Artificial intelligence
Public administration
Information technology: general issues
Business mathematics & systems
bic Book Industry Communication::U Computing & information technology::UN Databases
bic Book Industry Communication::U Computing & information technology::UN Databases::UNH Information retrieval
bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence
bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPP Public administration
bic Book Industry Communication::K Economics
finance
business & management::KJ Business & management::KJQ Business mathematics & systems
Druh dokumentu: book
DOI: 10.1007/978-3-030-53199-7
Popis: This 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.
Databáze: OAPEN Library
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