Knowledge Science Engineering and Management 15th International Conference KSEM 2022 Singapore August 6 8 2022 Proceedings Part I by Gerard Memmi 9783031109836 303110983X

Knowledge Science Engineering and Management 15th International Conference KSEM 2022 Singapore August 6 8 2022 Proceedings Part I Gerard Memmi – Ebook Instant Download/Delivery ISBN(s): 9783031109829,3031109821, 9783031109836, 303110983X

Product details:

• ISBN 10: 303110983X
• ISBN 13: 9783031109836
• Author:  Gerard Memmi 

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)

Table contents:

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 Parking Occupancy 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
Tackling Solitary Entities for Few-Shot Knowledge Graph Completion
CP Tensor Factorization for Knowledge Graph Completion
Signal Embeddings for Complex Logical Reasoning in Knowledge Graphs
Data Association with Graph Network for Multi-Object Tracking
Knowledge Graph Embedding with Direct and Disentangled Neighborhood Representation Attention Network
KGESS – A Knowledge Graph Embedding Method Based on Semantics and Structure
Knowledge Structure-Aware Graph-Attention Networks for Knowledge Tracing
MCSN: Multi-graph Collaborative Semantic Network for Chinese NER
Text-Enhanced and Relational Context Based Hyperbolic Knowledge Graph Embedding
Cross-Sentence Temporal Relation Extraction with Relative Sentence Time
Discourse Component Recognition via Graph Neural Network in Chinese Student Argumentative Essays
A Rating Prediction Model Based on Knowledge Modeling
Attending to SPARQL Logs for Knowledge Representation Learning
DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction
Concept Commons Enhanced Knowledge Graph Representation
Relation Prediction Based on Source-Entity Behavior Preference Modeling via Heterogeneous Graph Pooling
KEAN: Knowledge-Enhanced and Attention Network for News Recommendation
Labeled Knowledge-Based Decision Making with Assumption-Based Argumentation
MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation
Recomposition of Process Choreographies Using a Graph-Based Model Repository
Combining Knowledge Graphs with Semantic Similarity Metrics for Sentiment Analysis
Enhanced Simple Question Answering with Contrastive Learning
ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning
GADN: GCN-Based Attentive Decay Network for Course Recommendation
Discrimination of News Political Bias Based on Heterogeneous Graph Neural Network
Graph-Based Neural Collaborative Filtering Model for Drug-Disease Associations Prediction
ECCKG: An Eventuality-Centric Commonsense Knowledge Graph
CKGAC: A Commonsense Knowledge Graph About Attributes of Concepts
Attentive Capsule Graph Neural Networks for Session-Based Recommendation
Integrating Quaternion Graph Convolutional Networks with Tucker Decomposition for Link Prediction on Knowledge Graphs
Implementing Large-Scale ABox Materialization Using Subgraph Reasoning
BPMN4SBP for Multi-dimensional Modeling of Sensitive Business Processes
Attention-based Learning for Multiple Relation Patterns in Knowledge Graph Embedding
Recognition of Mechanical Parts Based on Improved YOLOv4-Tiny Algorithm
Asymmetric Neighboring Context Modeling for Knowledge Graph Embedding
IMDb30: A Multi-relational Knowledge Graph Dataset of IMDb Movies
KnowReQA: A Knowledge-aware Retrieval Question Answering System
Dynamic Embedding Graph Attention Networks for Temporal Knowledge Graph Completion
Cross-CAM: Focused Visual Explanations for Deep Convolutional Networks via Training-Set Tracing
Correction to: Attending to SPARQL Logs for Knowledge Representation Learning

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