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.