Open access peer-reviewed Edited Volume

Linked Open Data

Applications, Trends and Future Developments

Edited by Kingsley Okoye

Tecnologico de Monterrey

This book intends to provide the reader with a comprehensive knowledge of the latest developments within the Linked Open Data (LOD) framework and the benefits of supported systems. The book covers the entire spectrum of “Linked Open Data - Applications, Trends and Future Developments” with six chapters. Each of the chapters provides an all-inclusive conceptualization of the LOD concepts, methodological approaches, case studies, and the main applications both in theory and practice. This book is a reference and educational book targeted to data scientists, software developers, semantic web engineers, information system designers, process managers, teachers, and researchers, and general consumers in application of LOD methods within various contexts.

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Linked Open DataApplications, Trends and Future DevelopmentsEdited by Kingsley Okoye

Published: November 19th 2020

DOI: 10.5772/intechopen.80197

ISBN: 978-1-83962-672-2

Print ISBN: 978-1-83962-671-5

eBook (PDF) ISBN: 978-1-83962-673-9

Copyright year: 2020

Books open for chapter submissions

1860 Total Chapter Downloads

1 Crossref Citations

1 Dimensions Citations


Open access peer-reviewed

1. BIBFRAME Linked Data: A Conceptual Study on the Prevailing Content Standards and Data Model

By Jung-Ran Park, Andrew Brenza and Lori Richards


Open access peer-reviewed

2. TULIP: A Five-Star Table and List - From Machine-Readable to Machine-Understandable Systems

By Julthep Nandakwang and Prabhas Chongstitvatana


Open access peer-reviewed

3. Linked Open Data: State-of-the-Art Mechanisms and Conceptual Framework

By Kingsley Okoye


Open access peer-reviewed

4. Analysis of Effective Load Balancing Techniques in Distributed Environment

By Anju Shukla, Shishir Kumar and Harikesh Singh


Open access peer-reviewed

5. Study on IoT and Big Data Analysis of 12” 7 nm Advanced Furnace Process Exhaust Gas Leakage

By Kuo-Chi Chang, Kai-Chun Chu, Hsiao-Chuan Wang, Yuh-Chung Lin, Tsui-Lien Hsu and Yu-Wen Zhou


Open access peer-reviewed

6. Financial Time Series Analysis via Backtesting Approach

By Monday Osagie Adenomon


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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