Social Media Processing [electronic resource] : 11th Chinese National Conference, SMP 2023, Anhui, China, November 23–26, 2023, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Communications in Computer and Information Science ; 1945Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIV, 232 p. 53 illus., 50 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789819975969

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

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.

In: Springer Nature eBookSummary: 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.

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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.

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