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Web and Big Data : APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1–3, 2019, Revised Selected Papers / / edited by Jingkuan Song, Xiaofeng Zhu



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Titolo: Web and Big Data : APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1–3, 2019, Revised Selected Papers / / edited by Jingkuan Song, Xiaofeng Zhu Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (123 pages)
Disciplina: 004.6
004.678
Soggetto topico: Information organization
Information retrieval
Education - Data processing
Application software
Artificial intelligence
Information Storage and Retrieval
Computers and Education
Computer Appl. in Social and Behavioral Sciences
Artificial Intelligence
Persona (resp. second.): SongJingkuan
ZhuXiaofeng
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Web and Big Data  Visualizza cluster
ISBN: 3-030-33982-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910349267303321
Lo trovi qui: Univ. Federico II
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Serie: Information Systems and Applications, incl. Internet/Web, and HCI ; ; 11809