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Download the fantastic book titled Knowledge Graphs and Big Data Processing written by Valentina Janev, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Knowledge Graphs and Big Data Processing", which was released on 15 July 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Knowledge Graphs and Big Data Processing by Valentina Janev PDF

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.


Detail About Knowledge Graphs and Big Data Processing PDF

  • Author : Valentina Janev
  • Publisher : Springer Nature
  • Genre : Computers
  • Total Pages : 212 pages
  • ISBN : 3030531996
  • PDF File Size : 10,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Knowledge Graphs and Big Data Processing

Knowledge Graphs and Big Data Processing
  • Publisher : Springer Nature
  • File Size : 55,5 Mb
  • Release Date : 15 July 2020
GET BOOK

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

Knowledge Graphs and Big Data Processing

Knowledge Graphs and Big Data Processing
  • Publisher : Springer
  • File Size : 36,5 Mb
  • Release Date : 16 July 2020
GET BOOK

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

Knowledge Graphs

Knowledge Graphs
  • Publisher : Springer Nature
  • File Size : 40,6 Mb
  • Release Date : 01 June 2022
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This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of

Exploiting Linked Data and Knowledge Graphs in Large Organisations

Exploiting Linked Data and Knowledge Graphs in Large Organisations
  • Publisher : Springer
  • File Size : 29,8 Mb
  • Release Date : 24 January 2017
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This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge

Knowledge Graphs

Knowledge Graphs
  • Publisher : MIT Press
  • File Size : 40,8 Mb
  • Release Date : 30 March 2021
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A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model,

Exploiting Semantic Web Knowledge Graphs in Data Mining

Exploiting Semantic Web Knowledge Graphs in Data Mining
  • Publisher : IOS Press
  • File Size : 42,5 Mb
  • Release Date : 28 June 2019
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Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned with deriving higher-level insights from data. The tasks performed in this field are knowledge intensive and can

Provenance in Data Science

Provenance in Data Science
  • Publisher : Springer Nature
  • File Size : 21,7 Mb
  • Release Date : 26 April 2021
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RDF-based knowledge graphs require additional formalisms to be fully context-aware, which is presented in this book. This book also provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge

Graph-Powered Machine Learning

Graph-Powered Machine Learning
  • Publisher : Simon and Schuster
  • File Size : 47,8 Mb
  • Release Date : 05 October 2021
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Upgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data. Summary In Graph-Powered Machine Learning, you will learn: The lifecycle of a machine learning

Designing and Building Enterprise Knowledge Graphs

Designing and Building Enterprise Knowledge Graphs
  • Publisher : Springer Nature
  • File Size : 21,9 Mb
  • Release Date : 31 May 2022
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This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases