Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy
7th China Conference, CCKS 2022, Qinhuangdao, China, August 24-27, 2022, Revised Selected Papers
(Sprache: Englisch)
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...
The 15 full papers and 2 short...
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Klappentext zu „Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy “
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.
Inhaltsverzeichnis zu „Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy “
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 KnowledgeGraph Storage Management.- Explicit Sparse Attention Network for Multimodal Named EntityRecognition.- 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 MachineTranslation 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.
Bibliographische Angaben
- 2022, 1st ed. 2022, XVIII, 218 Seiten, 57 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Maosong Sun, Guilin Qi, Kang Liu, Jiadong Ren, Bin Xu, Yansong Feng, Yongbin Liu, Yubo Chen
- Verlag: Springer, Berlin
- ISBN-10: 9811975957
- ISBN-13: 9789811975950
Sprache:
Englisch
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