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Knowledge Graphs and Big Data Processing

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dc.contributor.author Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger (editors)
dc.date.accessioned 2023-06-15T01:46:04Z
dc.date.available 2023-06-15T01:46:04Z
dc.date.issued 2020
dc.description DOI: https://doi.org/10.1007/978-3-030-53199-7; License: CC BY; Publisher: Springer
dc.description.abstract 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.
dc.identifier.doi https://doi.org/10.1007/978-3-030-53199-7
dc.identifier.isbn 9783030531997
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/5298
dc.language.iso en
dc.subject Artificial intelligence
dc.subject big data
dc.subject data analytics
dc.subject data handling
dc.subject data integration
dc.subject data mining
dc.subject databases
dc.subject digital storage
dc.subject domain knowledge
dc.subject graph theory
dc.subject information management
dc.subject information technology
dc.subject integrated data
dc.subject internet
dc.subject knowledge management
dc.subject knowledge-based system
dc.subject ontologies
dc.subject semantics
dc.title Knowledge Graphs and Big Data Processing
dc.type Resource Types::text::book
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
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