TY  - CHAP
AU  - Kuo-Chi Chang
AU  - Kai-Chun Chu
AU  - Hsiao-Chuan Wang
AU  - Yuh-Chung Lin
AU  - Tsui-Lien Hsu
AU  - Yu-Wen Zhou
ED  - Kingsley Okoye
Y1  - 2020-07-23
PY  - 2020
T1  - Study on IoT and Big Data Analysis of 12” 7 nm Advanced Furnace Process Exhaust Gas Leakage
N2  - 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.
BT  - Linked Open Data
SP  - Ch. 5
UR  - https://doi.org/10.5772/intechopen.92849
DO  - 10.5772/intechopen.92849
SN  - 978-1-83962-672-2
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -