Knowledge Graphs and Big Data Processing

✍ Scribed by Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger

• Publisher: Springer International Publishing;Springer
• Year: 2020
• Tongue: English
• Leaves: 212
• Series: Lecture Notes in Computer Science 12072
• Edition: 1st ed.
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xi
Front Matter ....Pages 1-1
Chapter 1 Ecosystem of Big Data (Valentina Janev)....Pages 3-19
Chapter 2 Knowledge Graphs: The Layered Perspective (Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati)....Pages 20-34
Chapter 3 Big Data Outlook, Tools, and Architectures (Hajira Jabeen)....Pages 35-55
Front Matter ....Pages 57-57
Chapter 4 Creation of Knowledge Graphs (Anastasia Dimou)....Pages 59-72
Chapter 5 Federated Query Processing (Kemele M. Endris, Maria-Esther Vidal, Damien Graux)....Pages 73-86
Chapter 6 Reasoning in Knowledge Graphs: An Embeddings Spotlight (Luigi Bellomarini, Emanuel Sallinger, Sahar Vahdati)....Pages 87-101
Front Matter ....Pages 103-103
Chapter 7 Scalable Knowledge Graph Processing Using SANSA (Hajira Jabeen, Damien Graux, Gezim Sejdiu)....Pages 105-121
Chapter 8 Context-Based Entity Matching for Big Data (Mayesha Tasnim, Diego Collarana, Damien Graux, Maria-Esther Vidal)....Pages 122-146
Front Matter ....Pages 147-147
Chapter 9 Survey on Big Data Applications (Valentina Janev, Dea Pujić, Marko Jelić, Maria-Esther Vidal)....Pages 149-164
Chapter 10 Case Study from the Energy Domain (Dea Pujić, Marko Jelić, Nikola Tomašević, Marko Batić)....Pages 165-180
Back Matter ....Pages 181-209

✦ Subjects

Computer Science; Database Management; Information Systems Applications (incl.Internet); Computer Appl. in Administrative Data Processing; Business Information Systems