Knowledge graphs and big data processing
Fecha
2020Autor
Janev, Valentina
Graux, Damien
Jabeen, Hajira
Sallinger, Emanuel
Director(es)
Janev, Valentina
Graux, Damien
Jabeen, Hajira
Sallinger, Emanuel
Documentos PDF
Resumen
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. Being in the era of big data, Big Data
Analytics thus refers to the strategy of analyzing large volumes of data gathered from a
wide variety of sources, including social networks, transaction records, videos, digital
images, and different kinds of sensors.
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. However, this book
is not intended either to cover the whole set of big data analytics methods or to provide
a complete collection of references. Each chapter in this book addresses some pertinent
aspect of the data processing chain, with a specific focus on understanding
Palabras clave
Knowledge Graphs; Big Data ProcessingCreative Commons
http://creativecommons.org/licenses/by/4.0/Colecciones
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