"Linked Open Data: Applications, Trends and Future Developments" ed. by Kingsley Okoye

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. 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.

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.

Contents
1. BIBFRAME Linked Data: A Conceptual Study on the Prevailing Content Standards and Data Model
2. TULIP: A Five-Star Table and List - From Machine-Readable to Machine-Understandable Systems
3. Linked Open Data: State-of-the-Art Mechanisms and Conceptual Framework
4. Analysis of Effective Load Balancing Techniques in Distributed Environment
5. Study on IoT and Big Data Analysis of 12” 7 nm Advanced Furnace Process Exhaust Gas Leakage
6. Financial Time Series Analysis via Backtesting Approach



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