Final Program

Time(UTC+1) Tuesday Nov. 1, 2022 (Hybrid) Wednesday Nov. 2, 2022 (Hybrid) Thursday Nov. 3, 2022 (Fully Virtual)
08:00-09:00 Registration Registration
09:00-09:30 Excursion Plenary Session 2
Aspect-Based Sentiment Classification
09:30-10:00 Plenary Session 4
Online Self-trails and Sensing Data Analytics
10:00-10:30 Session 1
Social Media
Session 2
Spatial & Temporal Issues
10:30-11:00 Coffee Break
11:00-11:20 Coffee Break Session 8
Information Retrieval & Text Processing
Session 9
Reinforcement Learning
11:20-12:00 Session 3
Query Processing & Information Extraction
Session 4
Architecture and Performance I
12:00-12:30 Registration
12:30-12:40 Lunch Break
12:40-13:00 Lunch Break
13:00-13:30 Opening Session
13:30-14:00 Plenary Session 1
Exploring the bi-verse: how to analyse and benefit from the digital and physical ecospheres
14:00-14:30 Plenary Session 3
Fairness on Online Labor Markets
Session 10
Learning & Optimization
Session 11
Graph Data Management
14:30-15:00 Tutorial
Data modelling and query answering for linked geospatial data
15:00-15:30 Session 5
Architecture & Performance II
Session 6
Spatial Data Processing
Coffee Break
15:30-16:00 Session 12
Session 13
Neural Networks
16:00-16:30 Coffee Break
16:30-17:00 Tutorial
Data modeling and query answering for linked geospatial data
Session 7
Security & Privacy
Closing Session
17:30-18:00 Demos
19:00-20:00 Reception Conference dinner


Session 1: Social Media

Yihong Zhang and Takahiro Hara

Utilizing Social Media Retweeting for Improving Event Participant Prediction (short)

Maxime Masson, Christian Sallaberry, Rodrigo Agerri, Marie-Noelle Bessagnet, Philippe Roose and Annig Le Parc Lacayrelle

A Domain-independent Method for Thematic Dataset Building from Social Media: The Case of Tourism on Twitter (short)

Joris Knoester, Flavius Frasincar and Maria Trusca

Domain Adversarial Training for Aspect-Based Sentiment Analysis (regular, online)

Jierui Zhang, Liang Wang, Zhiwen Zheng and Xianping Tao

Social Community Evolution Analysis and Visualization in Open Source Software Projects (short, online)

Session 2: Spatial & Temporal Issues

Xia Li, Kongzhang Hao, Zhengyi Yang, Xin Cao, Wenjie Zhang, Long Yuan and Xuemin Lin

Hop-constrained s-t Simple Path Enumeration in Billion-scale Labelled Graphs (regular, online)

Shaonan Long, Jinzhi Liao, Shiyu Yang, Xiang Zhao and Xuemin Lin

Complex Question Answering over Temporal Knowledge Graphs (regular, online)

Huang Huan, Basem Suleiman and Waheeb Yaqub

Hotspots Recommender: Spatio-temporal Prediction of Ride-hailing and Taxicab Services (regular, online)

Session 3: Query Processing & Information Extraction

Khaoula Meddahi, Allel Hadjali, Seif Eddine Benkabou, Amin Mesmoudi, Dou El Kefel Mansouri, Khalid Benabdeslem and Souleyman Chaib

Towards a Co-Selection Approach for a Global Explainability of Black Box Machine Learning Models (regular)

Kousik Kumar Dutta, Ankita Dewan and Venkata M. V. Gunturi

A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks (short)

Rishabh Upadhyay, Gabriella Pasi and Marco Viviani

An Unsupervised Approach to Genuine Health Information Retrieval based on Scientific Evidence (regular)

Louise Parkin, Brice Chardin, Stephane Jean and Allel Hadjali

Explaining Unexpected Answers of SPARQL Queries (regular)


Session 4: Architecture and Performance I

Limeng Zhang, Rui Zhou, Qing Liu, Jiajie Xu and Chengfei Liu

Bitcoin Transaction Confirmation Time Prediction: A Classification Review (regular, online)

An-Chi Liu and Yi-Ping You

Offworker: An Offloading Framework for Parallel Web Applications (regular, online)

Xiaodong Zhang and Jing Zhou

High-Performance Transaction Processing for Web Applications Using Column-Level Locking (short, online)

Durgesh Samariya, Jiangang Ma and Sunil Aryal

sGrid++ : Revising Simple Grid based Density Estimator for Mining Outlying Aspect (regular, online)


Session 5: Architecture & Performance II

Sijin Cheng and Olaf Hartig

LinGBM: A Performance Benchmark for Approaches to Build GraphQL Servers (regular)

Firas Zouari, Chirine Ghedira Guegan, Khouloud Boukadi and Nadia Kabachi

A Service-based Framework for Adaptive Data Curation in Data Lakehouses (regular)

Otoya Nakakaze, István Koren, Florian Brillowski and Ralf Klamma

Retrofitting Industrial Machines with WebAssembly on the Edge (regular)


Session 6: Spatial Data Processing

Zheng Chen, Junhua Fang, Pingfu Chao, Jianfeng Qu, Pengpeng Zhao and Jiajie Xu

Conats: A Novel Framework for Cross-Modal Map Extraction (regular, online)

Marwa Boulakbech, Nizar Messai, Yacine Sam and Thomas Devogele

Attentive Knowledge-aware Path Network for Explainable Travel Mashup (short)

Lun Jin, Shuhan Wan, Detian Zhang and Ying Tang

Extra Budget-aware Online Task Assignment in Spatial Crowdsourcing (regular, online)


Session 7: Security & Privacy

Hira Asghar, Christophe Bobineau and Marie-Christine Rousset

Identifying Privacy Risks raised by Utility Queries (regular)

Nazar Waheed, Muhammad Ikram, Saad Sajid Hashmi, Xiangjian He and Priyadarsi Nanda.

An Empirical Assessment of Security and Privacy Risks of Web-based Chatbots (regular)

Yong-Feng Ge, Jinli Cao, Hua Wang and Yanchun Zhang

An Information-Driven Genetic Algorithm for Privacy-Preserving Data Publishing (regular, online)


Session 8: Information Retrieval & Text Processing

Dakshi Kapugama Geeganage, Yue Xu, Darshika Koggalahewa and Yuefeng Li

Enhanced Topic Representation by Ambiguity Handling (regular, online)

Lei Li, Dongxiang Zhang, Chengyu Wang, Cheqing Jin, Ming Gao and Aoying Zhou

Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge (regular, online)

Le Pan, Lina Yao, Wenjie Zhang and Xianzhi Wang

Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning (short, online)

Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang and Jing Xiao

Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation (short, online)


Session 9: Reinforcement Learning

Hanlei Jin, Jun Wang, Jinghua Tan, Junxiao Chen and Tao Shu

Incorporating News Summaries for Stock Predictions via Graphical Learning (short, online)

Min Xia, Xiang Cheng, Sen Su, Ming Kuang and Gang Li

Bootstrapping Joint Entity and Relation Extraction with Reinforcement Learning (regular, online)

Geng Li, Boyuan Ren and Hongzhi Wang

EEML: Ensemble Embedded Meta-learning (short, online)

Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao and Zhiming Cui

Click is not equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation (regular, online)


Session 10: Learning & Optimization

Zhenting Yan and Weiguo Zheng

Multi-document Question Answering Powered by External Knowledge (regular, online)

Chunhui Feng, Zhicheng Pan, Junhua Fang, Pingfu Chao, An Liu and Lei Zhao

A Learning-based Approach for Multi-scenario Trajectory Similarity Search (regular, online)

Meng Yang, Chenxu Yang and Jie Shao

Transformer-based Cache Replacement Policy Learning (short, online)


Session 11: Graph Data Management

Shanna Zhong, Kun Yue and Liang Duan

Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features (regular, online)

Lifu Chen, Junhua Fang, Pingfu Chao, An Liu and Pengpeng Zhao

Rumor Detection in Social Network via Influence based on Bi-Directional Graph Convolutional Network (regular, online)

Xinzhou Wang, Yinjia Chen, Zhiwei Zhang, Pengpeng Qiao and Guoren Wang

Efficient Truss Computation for Large Hypergraphs (regular, online)

Session 12: Recommendation

Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen and Lei Li

TUR: Utilizing Temporal Information to Make Unexpected E-commerce Recommendations (short, online)

Qingyang Wang, Defu Lian, Chenwang Wu and Enhong Chen

Towards Robust Recommender Systems via Triple Cooperative Defense (regular, online)

Longcan Wu, Daling Wang, Shi Feng, Xiangmin Zhou, Yifei Zhang and Ge Yu

Graph Collaborative Filtering for Recommendation in Complex and Quaternion Spaces (regular, online)


Session 13: Neural Networks

Chia-Hui Chang, Yu-Ching Liao and Ting Yeh

Event Source Page Discovery via Policy-based RL with Multi-Task Neural Sequence Model (short, online)

Jingxuan Liu, Ming Zhu, Huajiang Ouyang, Guozi Sun and Huakang Li

Triplet Embedding Convolutional Recurrent Neural Network for Long Text Semantic Analysis (short, online)

Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu and Ee-Peng Lim

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction (regular, online)


Demo Session

Boumediene Saidi, Houssameddine Yousfi, Amin Mesmoudi, Seif-Eddine Benkabou, Allel Hadjali and Houcine Matallah

RDF_QDAG in action: Efficient RDF Data querying at scale (Demo)

Xiaoxu Wang, Jialong Wang, Lizhen Wang, Shan Wang and Lei Ding

TCPMS-FCP: A Traffic Congestion Pattern Mining System Based on Spatio-temporal Fuzzy Co-location Patterns (Demo)

Rongtao Qian, Tao Zou, Jiali Mao and Kaixuan Zhu

Multi-source Logistics Data Management Architecture (Demo)