Skip to main content
SpringerLink
Log in

Web and Big Data

5th International Joint Conference, APWeb-WAIM 2021, Guangzhou, China, August 23–25, 2021, Proceedings, Part II

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Leong Hou U

    1. University of Macau, Macau, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Marc Spaniol

    1. University of Caen Normandie, Caen, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Yasushi Sakurai

    1. Osaka University, Osaka, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Junying Chen

    1. South China University of Technology, Guangzhou, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12859)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: APWeb-WAIM 2021.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (36 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Machine Learning 2

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Unsupervised Deep Hashing via Adaptive Clustering

      • Shuying Yu, Xian-Ling Mao, Wei Wei, Heyan Huang
      Pages 3-17

    3. FedMDR: Federated Model Distillation with Robust Aggregation

      • Yuxi Mi, Yutong Mu, Shuigeng Zhou, Jihong Guan
      Pages 18-32

    4. Data Augmentation for Graph Convolutional Network on Semi-supervised Classification

      • Zhengzheng Tang, Ziyue Qiao, Xuehai Hong, Yang Wang, Fayaz Ali Dharejo, Yuanchun Zhou et al.
      Pages 33-48

    5. Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks

      • Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
      Pages 49-63

    6. A Reasonable Data Pricing Mechanism for Personal Data Transactions with Privacy Concern

      • Zheng Zhang, Wei Song, Yuan Shen
      Pages 64-71

  3. Knowledge Graph

    1. Front Matter

      Pages 73-73
      Download chapter PDF

    2. A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph

      • JianYu Li, Kun Yue, Jie Li, Liang Duan
      Pages 75-89

    3. BOUNCE: An Efficient Selective Enumeration Approach for Nested Named Entity Recognition

      • Liujun Wang, Yanyan Shen
      Pages 90-105

    4. PAIRPQ: An Efficient Path Index for Regular Path Queries on Knowledge Graphs

      • Baozhu Liu, Xin Wang, Pengkai Liu, Sizhuo Li, Xiaofei Wang
      Pages 106-120

    5. A Hybrid Semantic Matching Model for Neural Collective Entity Linking

      • Baoxin Lei, Wen Li, Leung-Pun Wong, Lap-Kei Lee, Fu Lee Wang, Tianyong Hao
      Pages 121-134

    6. Multi-space Knowledge Enhanced Question Answering over Knowledge Graph

      • Ye Ji, Bohan Li, Yi Liu, Yuxin Zhang, Ken Cai
      Pages 135-140

  4. Emerging Data Processing Techniques

    1. Front Matter

      Pages 141-141
      Download chapter PDF

    2. A Distribution-Aware Training Scheme for Learned Indexes

      • Youyun Wang, Chuzhe Tang, Xujia Yao
      Pages 143-157

    3. AIR Cache: A Variable-Size Block Cache Based on Fine-Grained Management Method

      • Yuxiong Li, Yujuan Tan, Congcong Xu, Duo Liu, Xianzhang Chen, Chengliang Wang et al.
      Pages 158-177

    4. Learning an Index Advisor with Deep Reinforcement Learning

      • Sichao Lai, Xiaoying Wu, Senyang Wang, Yuwei Peng, Zhiyong Peng
      Pages 178-185

    5. SardineDB: A Distributed Database on the Edge of the Network

      • Min Dong, Haozhao Zhong, Boyu Sun, Sheng Bi, Yi Cai
      Pages 186-193

    6. DLSM: Distance Label Based Subgraph Matching on GPU

      • Shijie Jiang, Yang Wang, Guang Lu, Chuanwen Li
      Pages 194-200

  5. Information Extraction and Retrieval

    1. Front Matter

      Pages 201-201
      Download chapter PDF
Back to top

Other volumes

  1. Web and Big Data

  2. Web and Big Data

  3. Web and Big Data. APWeb-WAIM 2021 International Workshops

Keywords

About this book

This two-volume set, LNCS 12858 and 12859, constitutes the thoroughly refereed proceedings of the 5th International Joint Conference, APWeb-WAIM 2021, held in Guangzhou, China, in August 2021.

The 44 full papers presented together with 24 short papers, and 6 demonstration papers were carefully reviewed and selected from 184 submissions. The papers are organized around the following topics: Graph Mining; Data Mining; Data Management; Topic Model and Language Model Learning; Text Analysis; Text Classification; Machine Learning; Knowledge Graph; Emerging Data Processing Techniques; Information Extraction and Retrieval; Recommender System; Spatial and Spatio-Temporal Databases; and Demo.

Editors and Affiliations

  • University of Macau, Macau, China

    Leong Hou U

  • University of Caen Normandie, Caen, France

    Marc Spaniol

  • Osaka University, Osaka, Japan

    Yasushi Sakurai

  • South China University of Technology, Guangzhou, China

    Junying Chen

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation