Social Media Processing
11th Chinese National Conference, SMP 2023, Anhui, China, November 23-26, 2023, Proceedings
Published on 15. November 2023
Book
Paperback/Softback
XIV, 232 pages
978-981-99-7595-2 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2024
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
3 s/w Abbildungen, 50 farbige Abbildungen
XIV, 232 p. 53 illus., 50 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
382 gr
ISBN-13
978-981-99-7595-2 (9789819975952)
DOI
10.1007/978-981-99-7596-9
Schweitzer Classification
Other editions
Additional editions
Feng Wu | Xuanjing Huang | Xiangnan He
Social Media Processing
11th Chinese National Conference, SMP 2023, Anhui, China, November 23-26, 2023, Proceedings
E-Book
11/2023
Springer
€80.24
Available for download
Content
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.