Web and Big Data APWeb-WAIM 2019 International Workshops, KGMA and DSEA, Chengdu, China, August 1-3, 2019, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Song, Jingkuan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhu, Xiaofeng (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Information Systems and Applications, incl. Internet/Web, and HCI ; 11809
• Θέματα: Information storage and retrieval.; Education-Data processing.; Application software.; Artificial intelligence.; Information Storage and Retrieval.; Computers and Education.; Computer Appl. in Social and Behavioral Sciences.; Artificial Intelligence.
• Φυσική περιγραφή: IX, 117 p. 56 illus., 36 illus. in color. online resource.
• ISBN: 9783030339821
• DOI: 10.1007/978-3-030-33982-1

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.