Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11809)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: APWeb-WAIM 2019.
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Table of contents (9 papers)
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Front Matter
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KGMA
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Front Matter
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DSEA
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Front Matter
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Back Matter
Other volumes
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Web and Big Data
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Web and Big Data
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Web and Big Data
Keywords
About this book
This book constitutes the thoroughly refereed post-conference proceedings of the Third APWeb-WAIM 2019 Workshops, held jointly with the Third International Joint Conference APWeb-WAIM 2019 in Macau, China, in August 2019.
The 8 full papers presented together with 1 invited talk were carefully reviewed and selected from 18 submissions. The papers originating from two workshops, KGMA and DSEA, present cutting-edge ideas, results, experiences, techniques, and tools from all aspects of the management, analysis, and application of knowledge graphs in different domains, as well as theoretical foundations, algorithms, systems, models and applications for big data management and mining.
Editors and Affiliations
Bibliographic Information
Book Title: Web and Big Data
Book Subtitle: APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1–3, 2019, Revised Selected Papers
Editors: Jingkuan Song, Xiaofeng Zhu
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-33982-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-33981-4Published: 01 November 2019
eBook ISBN: 978-3-030-33982-1Published: 31 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 117
Number of Illustrations: 20 b/w illustrations, 36 illustrations in colour
Topics: Information Storage and Retrieval, Computers and Education, Computer Appl. in Social and Behavioral Sciences, Artificial Intelligence