Ergebnisse für: Knowledge Graph Alignment
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This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downst...
This book focuses on advancing the integration of multimodal data (text, images, and structured knowledge) to enable precise knowledge extraction and human-like reasoning. The book’s primary objective is to address critical challenges such as modality gaps, semantic misalignment, dataset biases, a...
This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016.The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. Th...
This book constitutes the refereed proceedings of the first China Conference on Knowledge Graph and Semantic Computing, CCKS, held in Beijing, China, in September 2016.The 19 revised full papers presented together with 6 shared tasks were carefully reviewed and selected from numerous submissions. Th...
This book constitutes the joint refereed proceedings of the 18th China Conference on Knowledge Graph and Semantic Computing and the 13th International Joint Conference on Knowledge Graphs, CCKS-IJCKG 2024, held in Chongqing, China, during September 20–22, 2024.
 
The 30 full papers and...
This book constitutes the joint refereed proceedings of the 18th China Conference on Knowledge Graph and Semantic Computing and the 13th International Joint Conference on Knowledge Graphs, CCKS-IJCKG 2024, held in Chongqing, China, during September 20–22, 2024.
 
The 30 full papers and...
This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downst...
This book focuses on advancing the integration of multimodal data (text, images, and structured knowledge) to enable precise knowledge extraction and human-like reasoning. The book’s primary objective is to address critical challenges such as modality gaps, semantic misalignment, dataset biases, a...
This book constitutes the proceedings of the 10th China Conference on Knowledge Graph and Semantic Computing, CCKS 2025, held in Fuzhou, China, during September 19–21, 2025.
The 22 full papers presented in this book were carefully reviewed and selected from 112 submissions. They were organized int...
This book constitutes the proceedings of the 10th China Conference on Knowledge Graph and Semantic Computing, CCKS 2025, held in Fuzhou, China, during September 19–21, 2025.
The 22 full papers presented in this book were carefully reviewed and selected from 112 submissions. They were organized int...
Knowledge representation is an important task in understanding how humans think and learn. Although many representation models or cognitive models have been proposed, such as expert systems or knowledge graphs, they cannot represent procedural knowledge, i.e., dynamic knowledge, in an efficient way....
Knowledge representation is an important task in understanding how humans think and learn. Although many representation models or cognitive models have been proposed, such as expert systems or knowledge graphs, they cannot represent procedural knowledge, i.e., dynamic knowledge, in an efficient way....
This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downst...