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Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy [electronic resource] : 7th China Conference, CCKS 2022, Qinhuangdao, China, August 24–27, 2022, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1669Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XVIII, 218 p. 70 illus., 57 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789811975967
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 621.39 23
  • 004.6 23
LOC classification:
  • TK7885-7895
  • TK5105.5-5105.9
Online resources:
Contents:
Knowledge Representation and Reasoning -- Investigating the Parallel Tractability of Knowledge Graph Reasoning via Boolean Circuits -- Incorporating Uncertainty of Entities and Relations into Few-Shot Uncertain Knowledge Graph Embedding -- Knowledge Acquisition and Knowledge Base Construction -- TraConcept: Constructing a Concept Framework from Chinese Traffic Legal Texts -- Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning -- KGSG: Knowledge Guided Syntactic Graph Model for Drug-Drug Interaction Extraction -- Hierarchical Modular Event Detection Based on Dependency Graph -- Linked Data, Knowledge Integration, and Knowledge Graph Storage Management -- Explicit Sparse Attention Network for Multimodal Named Entity Recognition -- Optimization of Bit Matrix Index for Temporal RDF -- Natural Language Understanding and Semantic Computing -- CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning -- A survey on Causal Discovery -- EK-BERT: An Enhanced K-BERT Model for Chinese Sentiment Analysis -- Incorporating Multilingual Knowledge Distillation into Machine Translation Evaluation -- Regularizing Deep Text Models By Encouraging Competition -- A Survey on Table Question Answering: Recent Advances -- Knowledge Graph Applications -- Knowledge-aware Topological Networks for Recommendation -- Knowledge Graph Open Resources -- IREE: A Fine-Grained Dataset for Chinese Event Extraction in Investment Research -- ELETerm: A Chinese Electric Power Term Dataset.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 7th China Conference on Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, CCKS 2022, in Qinhuangdao, China, August 24–27, 2022. The 15 full papers and 2 short papers included in this book were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: knowledge representation and reasoning; knowledge acquisition and knowledge base construction; linked data, knowledge integration, and knowledge graph storage managements; natural language understanding and semantic computing; knowledge graph applications; and knowledge graph open resources.
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Knowledge Representation and Reasoning -- Investigating the Parallel Tractability of Knowledge Graph Reasoning via Boolean Circuits -- Incorporating Uncertainty of Entities and Relations into Few-Shot Uncertain Knowledge Graph Embedding -- Knowledge Acquisition and Knowledge Base Construction -- TraConcept: Constructing a Concept Framework from Chinese Traffic Legal Texts -- Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning -- KGSG: Knowledge Guided Syntactic Graph Model for Drug-Drug Interaction Extraction -- Hierarchical Modular Event Detection Based on Dependency Graph -- Linked Data, Knowledge Integration, and Knowledge Graph Storage Management -- Explicit Sparse Attention Network for Multimodal Named Entity Recognition -- Optimization of Bit Matrix Index for Temporal RDF -- Natural Language Understanding and Semantic Computing -- CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning -- A survey on Causal Discovery -- EK-BERT: An Enhanced K-BERT Model for Chinese Sentiment Analysis -- Incorporating Multilingual Knowledge Distillation into Machine Translation Evaluation -- Regularizing Deep Text Models By Encouraging Competition -- A Survey on Table Question Answering: Recent Advances -- Knowledge Graph Applications -- Knowledge-aware Topological Networks for Recommendation -- Knowledge Graph Open Resources -- IREE: A Fine-Grained Dataset for Chinese Event Extraction in Investment Research -- ELETerm: A Chinese Electric Power Term Dataset.

This book constitutes the refereed proceedings of the 7th China Conference on Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, CCKS 2022, in Qinhuangdao, China, August 24–27, 2022. The 15 full papers and 2 short papers included in this book were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: knowledge representation and reasoning; knowledge acquisition and knowledge base construction; linked data, knowledge integration, and knowledge graph storage managements; natural language understanding and semantic computing; knowledge graph applications; and knowledge graph open resources.

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