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Knowledge Science, Engineering and Management

13th International Conference, KSEM 2020, Hangzhou, China, August 28–30, 2020, Proceedings, Part I

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Gang Li

    1. Deakin University, Geelong, Australia

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  2. Heng Tao Shen

    1. University of Electronic Science and Technology of China, Chengdu, China

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  3. Ye Yuan

    1. Beijing Institute of Technology, Beijing, China

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  4. Xiaoyang Wang

    1. Zhejiang Gongshang University, Hangzhou, China

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  5. Huawen Liu

    1. Zhejiang Normal University, Jinhua, China

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  6. Xiang Zhao

    1. National University of Defense Technology, Changsha, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12274)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: KSEM 2020.

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Table of contents (43 papers)

  1. Front Matter

    Pages i-xxvi
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  2. Knowledge Graph

    1. Front Matter

      Pages 1-1
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    2. Event-centric Tourism Knowledge Graph—A Case Study of Hainan

      • Jie Wu, Xinning Zhu, Chunhong Zhang, Zheng Hu
      Pages 3-15

    3. Extracting Short Entity Descriptions for Open-World Extension to Knowledge Graph Completion Models

      • Wangpeng Zhu, Xiaoli Zhi, Weiqin Tong
      Pages 16-27

    4. Graph Embedding Based on Characteristic of Rooted Subgraph Structure

      • Yan Liu, Xiaokun Zhang, Lian Liu, Gaojian Li
      Pages 28-39

    5. Knowledge Graphs Meet Geometry for Semi-supervised Monocular Depth Estimation

      • Yu Zhao, Fusheng Jin, Mengyuan Wang, Shuliang Wang
      Pages 40-52

    6. Topological Graph Representation Learning on Property Graph

      • Yishuo Zhang, Daniel Gao, Aswani Kumar Cherukuri, Lei Wang, Shaowei Pan, Shu Li
      Pages 53-64

    7. Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection

      • Aibo Guo, Zhen Tan, Xiang Zhao
      Pages 65-76

    8. A Contextualized Entity Representation for Knowledge Graph Completion

      • Fei Pu, Bailin Yang, Jianchao Ying, Lizhou You, Chenou Xu
      Pages 77-85

    9. A Dual Fusion Model for Attributed Network Embedding

      • Kunjie Dong, Lihua Zhou, Bing Kong, Junhua Zhou
      Pages 86-94

    10. Attention-Based Knowledge Tracing with Heterogeneous Information Network Embedding

      • Nan Zhang, Ye Du, Ke Deng, Li Li, Jun Shen, Geng Sun
      Pages 95-103

  3. Knowledge Representation

    1. Front Matter

      Pages 105-105
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    2. Detecting Statistically Significant Events in Large Heterogeneous Attribute Graphs via Densest Subgraphs

      • Yuan Li, Xiaolin Fan, Jing Sun, Yuhai Zhao, Guoren Wang
      Pages 107-120

    3. Edge Features Enhanced Graph Attention Network for Relation Extraction

      • Xuefeng Bai, Chong Feng, Huanhuan Zhang, Xiaomei Wang
      Pages 121-133

    4. MMEA: Entity Alignment for Multi-modal Knowledge Graph

      • Liyi Chen, Zhi Li, Yijun Wang, Tong Xu, Zhefeng Wang, Enhong Chen
      Pages 134-147

    5. A Hybrid Model with Pre-trained Entity-Aware Transformer for Relation Extraction

      • Jinxin Yao, Min Zhang, Biyang Wang, Xianda Xu
      Pages 148-160

    6. NovEA: A Novel Model of Entity Alignment Using Attribute Triples and Relation Triples

      • Tao Sun, Jiaojiao Zhai, Qi Wang
      Pages 161-173

    7. A Robust Representation with Pre-trained Start and End Characters Vectors for Noisy Word Recognition

      • Chao Liu, Xiangmei Ma, Min Yu, Xinghua Wu, Mingqi Liu, Jianguo Jiang et al.
      Pages 174-185

    8. Intention Multiple-Representation Model for Logistics Intelligent Customer Service

      • Jingxiang Hu, Junjie Peng, Wenqiang Zhang, Lizhe Qi, Miao Hu, Huanxiang Zhang
      Pages 186-193

    9. Identifying Loners from Their Project Collaboration Records - A Graph-Based Approach

      • Qing Zhou, Jiang Li, Yinchun Tang, Liang Ge
      Pages 194-201
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Other volumes

  1. Knowledge Science, Engineering and Management

  2. Knowledge Science, Engineering and Management

Keywords

About this book

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.

Editors and Affiliations

  • Deakin University, Geelong, Australia

    Gang Li

  • University of Electronic Science and Technology of China, Chengdu, China

    Heng Tao Shen

  • Beijing Institute of Technology, Beijing, China

    Ye Yuan

  • Zhejiang Gongshang University, Hangzhou, China

    Xiaoyang Wang

  • Zhejiang Normal University, Jinhua, China

    Huawen Liu

  • National University of Defense Technology, Changsha, China

    Xiang Zhao

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