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Social Media Processing: 11th Chinese National Conference, SMP 2023, Anhui, China, November 2326, 2023, Proceedings 1st ed. 2024 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 232 pages, height x width: 235x155 mm, weight: 385 g, 50 Illustrations, color; 3 Illustrations, black and white; XIV, 232 p. 53 illus., 50 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1945
  • Izdošanas datums: 15-Nov-2023
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819975956
  • ISBN-13: 9789819975952
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  • Cena: 69,22 €*
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Social Media Processing: 11th Chinese National Conference, SMP 2023, Anhui, China, November 2326, 2023, Proceedings 1st ed. 2024Palielināt
  • Formāts: Paperback / softback, 232 pages, height x width: 235x155 mm, weight: 385 g, 50 Illustrations, color; 3 Illustrations, black and white; XIV, 232 p. 53 illus., 50 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1945
  • Izdošanas datums: 15-Nov-2023
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819975956
  • ISBN-13: 9789819975952
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789819975952.html
Keywords:
This book constitutes the thoroughly refereed proceedings of the 11th Chinese National Conference of Social Media Processing, SMP 2023, held in Anhui, China, in November 2023.

The 16 full papers presented were carefully reviewed and selected from 88 submissions. The papers are organized in the topical sections on knowledge representation and reasoning; knowledge acquisition and knowledge base construction; linked data, knowledge integration, and knowledge graph storage management; natural language understanding and semantic computing; knowledge graph applications; knowledge graph open resources.
Knowledge Representation and Reasoning.- Knowledge Acquisition and
Knowledge Base Construction.- Linked Data, Knowledge Integration, and
Knowledge Graph Storage Management.- Natural Language Understanding and
Semantic Computing.- Knowledge Graph Applications.- Knowledge Graph Open
Resources.