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E-raamat: Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part I

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Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part ISuurem pilt
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The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6–8, 2022. 

The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections:

Volume I: 
Knowledge Science with Learning and AI (KSLA)

Volume II: 
Knowledge Engineering Research and Applications (KERA)

Volume III: 
Knowledge Management with Optimization and Security (KMOS)

Knowledge Science with Learning and AI (KSLA).- A decoupled YOLOv5 with
deformable convolution and multi-scale attention.- OTE: An Optimized Chinese
Short Text Matching Algorithm based on External Knowledge.- KIR: A
Knowledge­-enhanced Interpretable Recommendation Method.- ICKEM: a tool for
estimating one's understanding of conceptual knowledge.- Cross-perspective
Graph Contrastive Learning.- A Multi-scale Convolution and Gated Recurrent
Unit Based Network for Limit Order Book Prediction.- Pre-train Unified
Knowledge Graph Embedding with Ontology.- Improving Dialogue Generation with
Commonsense Knowledge Fusion and Selection.- A Study of Event Multi-triple
Extraction Methods Based on Edge-Enhanced Graph Convolution Networks.-
Construction Research and Applications of Industry Chain Knowledge Graphs.-
Query and Neighbor-aware Reasoning based Multi-hop Question Answering over
Knowledge Graph.- Question Answering over Knowledge Graphs with Query Path
Generation.- Improving ParkingOccupancy Prediction in Poor Data Conditions
through Customization and Learning to Learn.- Knowledge Concept Recommender
Based on Structure Enhanced Interaction Graph Neural Network.- Answering
Complex Questions on Knowledge Graphs.- Multi-Attention User Information
Based Graph Convolutional Networks for Explainable Recommendation.-
Edge-shared GraphSAGE: A New Method of Buffer Calculation for Parallel
Management of Big Data Project Schedule.
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