Overview
Part of the book series: Communications in Computer and Information Science (CCIS, volume 2094)
Included in the following conference series:
Conference proceedings info: APWeb-WAIM 2023.
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About this book
This proceedings constitutes selected papers from the Workshops KGMA and SemiBDMA which were held in conjunction with APWeb-WAIM 2023 which took place in Wuhan, China, during October 6-8, 2023.
The 7 full papers included in this book were carefully reviewed and selected from 15 papers submitted to these workshops. They focus on new research approaches on the theory, design, and implementation of data management systems.
Keywords
- graph data, RDF, social networks
- natural language processing
- knowledge graphs
- representation learning
- parallel and distributed data management
- data mining
- data engineering for big remote sensing data
- security, privacy, and trust
- information retrieval
- learning
- machine learning
- network protocols
- privacy
- recommendation
- recommender systems
- block chain models and applications
- spatial and temporal databases
Table of contents (7 papers)
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Web and Big Data. APWeb-WAIM 2023 International Workshops
Editors and Affiliations
Bibliographic Information
Book Title: Web and Big Data. APWeb-WAIM 2023 International Workshops
Book Subtitle: KGMA 2023 and SemiBDMA 2023, Wuhan, China, October 6–8, 2023, Proceedings
Editors: Xiangyu Song, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-981-97-2991-3
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Softcover ISBN: 978-981-97-2990-6Published: 09 May 2024
eBook ISBN: 978-981-97-2991-3Published: 08 May 2024
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: IX, 89
Number of Illustrations: 12 b/w illustrations, 21 illustrations in colour
Topics: Big Data, Data Structures and Information Theory, Computer Applications, Computer Imaging, Vision, Pattern Recognition and Graphics, Information Storage and Retrieval, Data Mining and Knowledge Discovery