Web and Big Data
APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1-3, 2019, Revised Selected Papers
Published on 1. November 2019
Book
Paperback/Softback
IX, 117 pages
978-3-030-33981-4 (ISBN)
Description
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.
More details
Series
Edition
2019 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
20 s/w Abbildungen, 36 farbige Abbildungen
IX, 117 p. 56 illus., 36 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
207 gr
ISBN-13
978-3-030-33981-4 (9783030339814)
DOI
10.1007/978-3-030-33982-1
Schweitzer Classification
Other editions
Additional editions
Jingkuan Song | Xiaofeng Zhu
Web and Big Data
APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1-3, 2019, Revised Selected Papers
E-Book
10/2019
Springer
€53.49
Available for download
Content
KGMA.-
Distributed Query Evaluation over Large RDF (Invited Talk).- Classification-based Emoji Recommendation for User Social Networks.- Leveraging Context Information for Joint Entity and Relation Linking.- Community Detection in Knowledge Graph Network with Matrix Factorization Learning.- A Survey of Relation Extraction of Knowledge Graphs.-
DSEA.-
PEVR: Pose Estimation for Vehicle Re-identification.- The Research of Chinese Ethnical Face Recognition Based on Deep Learning.- Model of Charging Stations Construction and Electric Vehicles Development Prediction.- Boundary Detector Encoder and Decoder with Soft Attention for Video Captioning.