Web and Big Data: APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1–3, 2019, Revised Selected Papers: Lecture Notes in Computer Science, cartea 11809
Editat de Jingkuan Song, Xiaofeng Zhuen Limba Engleză Paperback – noi 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.
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Specificații
ISBN-13: 9783030339814
ISBN-10: 3030339815
Pagini: 117
Ilustrații: IX, 117 p. 56 illus., 36 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.19 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
ISBN-10: 3030339815
Pagini: 117
Ilustrații: IX, 117 p. 56 illus., 36 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.19 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
Cuprins
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.