Web and Big Data: 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25–27, 2022, Proceedings, Part II | SpringerLink
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Web and Big Data

6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25–27, 2022, Proceedings, Part II

  • Conference proceedings
  • © 2023

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Editors:
  1. Bohan Li

    1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

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  2. Lin Yue

    1. Newcastle University, Callaghan, Australia

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  3. Chuanqi Tao

    1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

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  4. Xuming Han

    1. Jinan University, Guangzhou, China

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  5. Diego Calvanese

    1. Free University of Bozen-Bolzano, Bolzano, Italy

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  6. Toshiyuki Amagasa

    1. University of Tsukuba, Tsukuba, Japan

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13422)

Included in the following conference series:

Conference proceedings info: APWeb-WAIM 2022.

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About this book

This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022.

The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data.

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Table of contents (43 papers)

  1. Front Matter

    Pages i-xvii
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  2. Graph Data and Social Networks

    1. Front Matter

      Pages 1-1
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    2. Accelerating Hypergraph Motif Counting Based on Hyperedge Relations

      • Yuhang Su, Yu Gu, Yang Song, Ge Yu
      Pages 3-11

    3. Next POI Recommendation Method Based on Category Preference and Attention Mechanism in LBSNs

      • Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng, Xican Wang
      Pages 12-19

  3. Information Extraction and Retrieval

    1. Front Matter

      Pages 21-21
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    2. ToSA: A Top-Down Tree Structure Awareness Model for Hierarchical Text Classification

      • Deji Zhao, Bo Ning, Shuangyong Song, Chao Wang, Xiangyan Chen, Xiaoguang Yu et al.
      Pages 23-37

    3. Clause Fusion-Based Emotion Embedding Model for Emotion-Cause Pair Extraction

      • Zhiwei Li, Guozheng Rao, Li Zhang, Xin Wang, Qing Cong, Zhiyong Feng
      Pages 38-52

    4. Accelerated Algorithms for \(\alpha \)-Happiness Query

      • Min Xie
      Pages 53-68

    5. SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder

      • Wuhang Lin, Shasha Li, Chen Zhang, Bin Ji, Jie Yu, Jun Ma et al.
      Pages 69-84

    6. DASH: Data Aware Locality Sensitive Hashing

      • Zongyuan Tan, Hongya Wang, Ming Du, Jie Zhang
      Pages 85-100

    7. AOPSS: A Joint Learning Framework for Aspect-Opinion Pair Extraction as Semantic Segmentation

      • Chengwei Wang, Tao Peng, Yue Zhang, Lin Yue, Lu Liu
      Pages 101-113

    8. Dual Graph Convolutional Networks for Document-Level Event Causality Identification

      • Yang Liu, Xiaoxia Jiang, Wenzheng Zhao, Weiyi Ge, Wei Hu
      Pages 114-128

    9. Self-supervised Label-Visual Correlation Hashing for Multi-label Image Retrieval

      • Yu Liu, Yanzhao Xie, Jingkuan Song, Rukai Wei, Ke Zhou
      Pages 129-143

    10. Shallow Diffusion Motion Model for Talking Face Generation from Speech

      • Xulong Zhang, Jianzong Wang, Ning Cheng, Edward Xiao, Jing Xiao
      Pages 144-157

    11. Hierarchical Clustering and Measure for Tourism Profiling

      • Sonia Djebali, Quentin Gabot, Guillaume Guerard
      Pages 158-165

    12. Non-stationary Dueling Bandits for Online Learning to Rank

      • Shiyin Lu, Yuan Miao, Ping Yang, Yao Hu, Lijun Zhang
      Pages 166-174

    13. High-Order Correlation Embedding for Large-Scale Multi-modal Hashing

      • Junfeng An, Yingjian Li, Zheng Zhang, Yongyong Chen, Guangming Lu
      Pages 175-182

    14. A Self-training Approach for Few-Shot Named Entity Recognition

      • Yudong Qian, Weiguo Zheng
      Pages 183-191

  4. Knowledge Graph

    1. Front Matter

      Pages 193-193
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    2. Reasoning Path Generation for Answering Multi-hop Questions Over Knowledge Graph

      • Yuxuan Xiang, Jiajun Wu, Tiexin Wang, Meng Wang, Tianlun Dai, Gaoxu Wang et al.
      Pages 195-209
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Other volumes

  1. Web and Big Data

  2. Web and Big Data

  3. Web and Big Data

  4. Web and Big Data. APWeb-WAIM 2022 International Workshops

Editors and Affiliations

  • Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Bohan Li, Chuanqi Tao

  • Newcastle University, Callaghan, Australia

    Lin Yue

  • Jinan University, Guangzhou, China

    Xuming Han

  • Free University of Bozen-Bolzano, Bolzano, Italy

    Diego Calvanese

  • University of Tsukuba, Tsukuba, Japan

    Toshiyuki Amagasa

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