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El. knyga: Knowledge Science, Engineering and Management: 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part I

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  • Formatas: EPUB+DRM
  • Serija: Lecture Notes in Computer Science 12274
  • Išleidimo metai: 20-Aug-2020
  • Leidėjas: Springer Nature Switzerland AG
  • Kalba: eng
  • ISBN-13: 9783030551308
  • Formatas: EPUB+DRM
  • Serija: Lecture Notes in Computer Science 12274
  • Išleidimo metai: 20-Aug-2020
  • Leidėjas: Springer Nature Switzerland AG
  • Kalba: eng
  • ISBN-13: 9783030551308

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This two-volume set of LNAI 12274 and LNAI 12275 constitutes the refereed proceedings of the 13th International Conference on Knowledge Science, Engineering and Management, KSEM 2020, held in Hangzhou, China, in August 2020.*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.





*The conference was held virtually due to the COVID-19 pandemic.
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.