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This book constitutes revised selected papers from the workshops of the 6th Asia-Pacific Web and Web-Age Information Management International Joint Conference on Web and Big Data, APWeb-WAIM 2022: The Fifth International Workshop on Knowledge Graph Management and Applications, KGMA 2022, The Fourth International Workshop on Semi-structured Big Data Management and Applications, SemiBDMA 2022, and The Third International Workshop on Deep Learning in Large-scale Unstructured Data Analytics, DeepLUDA 2022, held in Nanjing, China, in August 2022. The 23 papers were thoroughly reviewed and selected from the 39 submissions and present recent research on the theory, design, and implementation of data management systems.
This book constitutes the refereed proceedings of the 13th International Conference on Computational Logistics, ICCL 2023, held in Berlin, Germany, during September 6-8, 2023. The 32 full papers presented in this volume were carefully reviewed and selected from 71 submissions. They are grouped into the following topics: ​computational logistics; maritime shipping; vehicle routing; traffic and transport; and combinatorial optimization.
As industries worldwide grapple with the dual challenge of meeting modernization demands while addressing urgent environmental concerns, the need for sustainable solutions has never been more pressing. The proliferation of Internet of Things (IoT) technologies offers a promising avenue for enhancing efficiency and productivity in various sectors. However, the design and implementation of IoT solutions often overlook environmental considerations, leading to missed opportunities for eco-friendly innovation. This oversight exacerbates environmental degradation and undermines efforts to achieve sustainability goals. Designing Sustainable Internet of Things Solutions for Smart Industries offers a forward-thinking approach to integrating IoT technologies with environmental stewardship. By delving into the intricacies of sustainable IoT design and implementation, this book provides engineers, designers, and industry leaders with the knowledge and tools necessary to create innovative solutions that prioritize sustainability. Through a mix of technical insights, case studies, and strategic frameworks, readers are equipped to navigate the complexities of IoT deployment while minimizing environmental impact.
This two-volume set, LNCS 12858 and 12859, constitutes the thoroughly refereed proceedings of the 5th International Joint Conference, APWeb-WAIM 2021, held in Guangzhou, China, in August 2021. The 44 full papers presented together with 24 short papers, and 6 demonstration papers were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining; Data Management; Topic Model and Language Model Learning; Text Analysis; Text Classification; Machine Learning; Knowledge Graph; Emerging Data Processing Techniques; Information Extraction and Retrieval; Recommender System; Spatial and Spatio-Temporal Databases; and Demo.