Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy
Springer Verlag, Singapore
978-981-19-7595-0 (ISBN)
The 15 full papers and 2 short papers included in this book were carefully reviewed and selected from 100 submissions.
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.
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.
| Erscheinungsdatum | 23.11.2022 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science ; 1669 |
| Zusatzinfo | 57 Illustrations, color; 13 Illustrations, black and white; XVIII, 218 p. 70 illus., 57 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | Applications • Computer Science • conference proceedings • Informatics • Research |
| ISBN-10 | 981-19-7595-7 / 9811975957 |
| ISBN-13 | 978-981-19-7595-0 / 9789811975950 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
