Knowledge Graphs and Big Data Processing

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.

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