Knowledge Science, Engineering and Management 13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I

The 58 revised full papers and 27 short papers were carefully reviewed and selected from 291 submissions. The papers of the first volume are organized in the following topical sections: knowledge graph; knowledge representation; knowledge management for education; knowledge-based systems; and data processing and mining. The papers of the second volume are organized in the following topical sections: machine learning; recommendation algorithms and systems; social knowledge analysis and management; text mining and document analysis; and deep learning.

Knowledge Graph.- Event-centric Tourism Knowledge Graph — A Case Study of Hainan.- Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Models.- Graph Embedding Based on Characteristic of Rooted Subgraph Structure.- Knowledge Graphs Meet Geometry for Semi-supervised Monocular Depth Estimation.- Topological Graph Representation Learning on Property Graph.- Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection.- A Contextualized Entity Representation for Knowledge Graph Completion.- A Dual Fusion Model for Attributed Network Embedding.- Attention-based Knowledge Tracing with Heterogeneous Information Network Embedding.- Knowledge Representation.- Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs.- Edge Features Enhanced Graph Attention Network for Relation Extraction.- MMEA: Entity Alignment for Multi-Modal Knowledge Graph.- A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction.- NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples.- A Robust Representation with Pre-Trained Start and End Characters Vectors for Noisy Word Recognition.- Intention Multiple-representation Model for Logistics Intelligent Customer Service.- Identifying Loners from Their Project Collaboration Records – A Graph-based Approach.- Node Embedding over Attributed Bipartite Graphs.- FastLogSim: A quick log pattern parser scheme based on text similarity.- Knowledge Management for Education.- Robotic Pushing and Grasping Knowledge Learning via Attention Deep Q-Learning Network.- A Dynamic Answering Path based Fusion Model for KGQA.- Improving Deep Item-based Collaborative Filtering with Bayesian Personalized Ranking for MOOC Course Recommendation.- Online Programming Education Modeling and Knowledge Tracing.- Enhancing Pre-Trained Language Models by Self-Supervised Learning for Story Cloze Test.- MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC.- Knowledge-based Systems.- PVFNet: Point-view fusion network for 3D shape recognition.- HEAM: Heterogeneous Network Embedding with Automatic Meta-path Construction.- A Graph Attentive Network Model for P2P Lending Fraud Detection.- An Empirical Study on Recent Graph Database Systems.- Bibliometric Analysis of Twitter Knowledge management publications related to Health Promotion.- Automatic cerebral artery system labeling using registration and key points tracking.- Page-level handwritten word spotting via discriminative feature learning.- NADSR: A Network Anomaly Detection Scheme based on Representation.- A Knowledge-based Scheduling Method for Multi-Satellite Range System.- IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization.- Data Processing and Mining.- Fast Backward Iterative Laplacian Score for Unsupervised Feature Selection.- Improving Low-Resource Chinese Event Detection with Multi-Task Learning.- Feature Selection Using Sparse Twin Support Vector Machine with correntropy-induces loss.- Customized Decision Tree for Fat Multi-resolution Chart Patterns Classification.- Predicting user influence in the propagation of toxic information.- Extracting Distinctive Shapelets with Random Selection for Early Classification.- Butterfly-Based Higher-Order Clustering on Bipartite Networks.- Learning Dynamic Pricing Rules for Flight Tickets.