WISE 2024 Program
Session 1- Recommendation Systems
Wangwang Zhang, Baojun Tian, Tengjiao Wang, Lu Yuan, and Meng Jiang
Research on micro-videos recommendation method integrating multimodal data and user multi-behavior
Longchuan Tu, Shunmei Meng, Xiao Liu, Guanfeng Liu, Amin Beheshti, and Xuyun Zhang
Semantic Similarity-Based Graph Contrastive Learning for Recommender System
Shengfeng Lin, Huanhuan Yuan, Guanfeng Liu, Xuefeng Xian, Zhiming Cui, and Pengpeng Zhao
Feature-Adaptive Meets Domain-Specific Networks for Multi-Domain Recommendation
Zhao Liu, Wei Liu, Huaijie Zhu, Jianxing Yu, and Jian Yin
Next POI Recommendation Based on Time Slot Preferences and Bidirectional Transformation Modeling
Hailong Luo, Yijing Wang, Qingqing Zhu, and Dazhao Ding
DKAF:Diffusion Kolmogorov-Arnold Fourier Hard Sample Mining for CTR
Session 2 – Humans and Web Security
Aya Muhanad, Israa Abuelezz, Khaled Khan and Raian Ali
On How Cialdini's Persuasion Principles Influence Individuals in the Context of Social Engineering: A Qualitative Study
Eiman Al-Hamad, Sameha Alshakhsi, Areej Babiker, Aiman Erbad and Raian Ali
The Impact of Personality Traits and Need for Cognition on Cybersecurity Behavior: A Study Across Arab and European Samples
Eiman Al-Hamad, Aiman Erbad and Raian Ali
Reporting Social Media Fraud: Motivations, Barriers, and Reporting Mechanism
Faisal Abughazaleh, Israa Abuelezz, Khaled Khan and Raian Ali
Need for Affect and Need for Cognition vs. Cybersecurity Attitude
Harpreet Kaur, Vimal Kumar and Atthapan Daramas
Detecting ransomware using system calls through transfer learning on a limited feature set
Cédric Eichler, Nathan Champeil, Nicolas Anciaux, Alexandra Bensamoun, Héber H. Arcolezi, and José Maria De Fuentes
Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction
Session 3 – Knowledge and Data Management
Zakaria Maamar, Amel Benna, Vanilson Burégio, Wictor Lopes, Amal Hafsi, Cheima Ben Njima, and Chirine Ghedira Guegan
Data- and Activity-centric Business Process Modeling: An Approach based on Business Units
Shin-Ya Sato
Periphoscape: Enhance Wikipedia Browsing by Presenting Diverse Aspects of Topics
Mengyu Zhu, Zhao Li, Jun Zhao, Xiaopeng Liu, and Yongning Liu
TERM: Tree Ensemble Models for Interpretable Rule Mining
Vanha Tran, Thiloan Bui, Thaigiang Do and Hoangan Le
A high utility co-location pattern mining algorithm using multiple utility thresholds
Devmane Suhas, Omer Rana, Simon Lannon, and Charith Perera
Talking Buildings: Interactive Human-Building Smart-Bot for Smart Buildings
Session 4 – Online Safety and Wellbeing through Ai
Weiqiang Jin, Ningwei Wang, Tao Tao, Mengying Jiang, Xiaotian Wang, Biao Zhao, Hao Wu, Haibin Duan and Guang Yang
DisCo-FEND: Social Context Veracity Dissemination Consistency-Guided Case Reasoning for Few-Shot Fake News Detection
Mengting Song, Ziyuan Li, Kai Liu, Min Peng and Gang Tian
NLWM: a Robust, Efficient and High-quality Watermark for Large Language Models
Larry Huynh, Andrew Gansemer, Hyoungshick Kim and Jin Hong
Improving the Robustness of Rumor Detection Models with Metadata-Augmented Evasive Rumor Datasets
Larry Huynh, Jesse Kilcullen and Jin Hong
Rumor Alteration for Improving Rumor Generation
Ananya Balaji, Lea Duesterwald, Ian Yang, Aman Priyanshu, Costanza Alfieri and Norman Sadeh
Generating Effective Answers to People’s Everyday Cybersecurity Questions: An Initial Study
Special Session 5 – Graph Machine Learning On Web and Social Media
Yong Yi Liu, Shanru Lin and Jiangtao Huang
Knowledge Graph Relation Patterns Networks for Recommendations
Venus Haghighi, Nasrin Shabani, Behnaz Soltani, Lina Yao, Quan Z. Sheng, Jian Yang and Amin Beheshti
Robust Graph Learning against Camouflaged Malicious Actors
Session 6 – Recommendation Systems
Lvying Chen, Ji Zhang, Yuxi Zhang, Sujie Yu, and Bohan Li
Cross-Domain Sequential Recommendation with Temporal Encoding and Projection-Based Learning
Yiheng Li and Weihai Lu
MHHCR: Multi-behavior Heterogeneous Hypergraph Contrastive Recommendation
Haibo Liu, Lianjie Yu, Yali Si, and Jinglian Liu
CSA4Rec: Collaborative Signals Augmentation model based on GCN for Recommendation
Wenhao Liu, Sui Lin, and Lanjun Li
Implicit-Relation Knowledge Distillation for Robust Recommendations
Jie Shen, Lei Chen, Guixiang Zhu, Jie Cao, Weiping Qin, Yihan Chen, and Yiheng Lu
Temporal preference and knowledge-aware collaborative attentive network for electrical material recommendation
Tengjiao Wang, Baojun Tian, Wangwang Zhang, Lu Yuan, and Meng Jiang
The Research of Sequence Recommendation Method Based on Heterogeneous Enhanced Transformer with Multi-Behavior Data
Session 7 – Information Retrieval and Text Processing
Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Elaf Alhazmi and Adnan Mahmood
Learning Contrastive Representations for Dense Passage Retrieval in Open-domain Conversational Question Answering
S. M. Mazharul Hoque Chowdhury
Wikipedia Empowered Natural Language Interface for Web Search
Xin He
Mathematical Formulas-Based Scientific Literature Retrieval with Heterogeneous Network Semantic Enhancement
Smail Oussaidene, Lynda Said Lhadj and Mohand Boughanem
MarkedDPR: Enhancing Dense Passage Retrieval with Exact Match Signals and Synthetic Data Augmentation
Session 8 – Knowledge and Data Management
Samira Oulefki, Lamia Berkani, Nassim Boudjenah, Ladjel Bellatreche, and Aicha Mokhtari
Concepts and Relations Features Are All You Need for Embedding-based Ontology Matching
Tahani Abu Musa, Abdelaziz Bouras and Abdelhak Belhi
An Ontological Approach for Anomaly Detection in Supply Chain-based Business Processes
Abhilasha Ravichander, Ian Yang, Rex Chen, Shomir Wilson, Thomas Norton and Norman Sadeh
Incorporating Taxonomic Reasoning and Regulatory Knowledge into Automated Privacy Question Answering
Shanshan Huang, Junpeng Zhu, Fengyan Zhang, Peng Cai and Qiwen Dong
AutoTable: Effective and Efficient Automated Feature Transformation for Tabular Data
Session 9 – Online Safety and Wellbeing through Ai
Firoj Alam, Md. Rafiul Biswas, Uzair Shah, Wajdi Zaghouani and Georgios Mikros
Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs
Surendrabikram Thapa, Kritesh Rauniyar, Hariram Veeramani, Aditya Shah, Imran Razzak and Usman Naseem
Did You Tell a Deadly Lie? Evaluating Large Language Models for Health Misinformation Identification
Mohamed Bayan Kmainasi, Rakif Khan Pathan, Ali Ezzat Shahroor, Boushra Bendou, Maram Hasanain and Firoj Alam
Native vs Non-Native Language Prompting: A Comparative Analysis
Ademola Adesokan, Haiwei Hu and Sanjay Madria
DisFact: Fact-Checking Disaster Claims
Special Sessions 10 – Graph Machine Learning On Web and Social Media
Ziye Fang, Luyao Teng, Zefeng Zheng, Wei Zhang and Shaohua Teng
Label-enhanced Cross-modal Hashing with Dual-semantic Learning
Chang Gong, Boyu Yang, Weiguo Zheng, Xing Huang, Weiyi Huang, Jie Wen, Shijie Sun and Bohua Yang
Towards Building a Lightweight and Powerful Computation Graph for Scalable GNN
Md Jamil Ahmed, Mahdis Saeedi and Hossein Fani
Skill Vector Representation Learning for Collaborative Team Recommendation: A Comparative Study
Mengqiu Cheng, Wangting Qiao, Junming Chen and Xianfeng Li
Learning to Ask about Text Content in an Image with Fine-Grained Features
Session 11 – Social Media and News Analysis
Noor Al-Ansari, Dena Al-Thani, and Mariam Bahameish
The Influence of Social Networking Usage Experience and Activity on Preferences of Explainable Artificial Intelligence (XAI) Representation Methods in a Hate Speech Detection System
Sanaa Kaddoura and Reem Nassar
Language Model-Based Approach for Multiclass Cyberbullying Detection
Ruben Sinu Kurian, Chandramani Chaudhary, Abhay Unni Nambiar, and Abhina Sunny
MeTAN: Metaphoric Temporal Attention Network for depression detection on Social Media
Xiyu Qiao, Xiangmin Zhou, Changjun Zhou, Hua Wang and Yanchun Zhang
EBUD: Evolving Disaster Burst Detection over Social Streams
Sarah Condran, Michael Bewong, Selasi Kwashie, Md Zahidul Islam, Irfan Altas and Joshua Condran
MAPX: An explainable model-agnostic framework for the detection of false information on social media networks
Session 12 – Web Technologies
Ralph Bou Nader, Ikram Garfatta, Marwa Elleuch, Walid Gaaloul and Yehia Taher
Multi-Perspective Conformance Checking For Email-driven Processes
Fernando Miguel Carvalho
Progressive Server-Side Rendering with Suspendable Web Templates
Xingchuang Liao, Wenjun Wu, Xiaoming Yu, Xin Ji, Yiting Chen and Junting Li
HMSC-LLMs: A Hierarchical Multi-agent Service Composition Method Based on Large Language Models
Noah Kader, Inwon Kang, and Oshani Seneviratne
Enhancing Web Spam Detection through a Blockchain-Enabled Crowdsourcing Mechanism
Sebastian Heil, Lucas Schröder, and Martin Gaedke
WNSWE: Web-based Network Simulator for Web Engineering Education
Session 13 – Learning and Optimization
Takumi Ito, Atsuki Maruta, Makoto P. Kato, and Sumio Fujita
PR-Rank: A Parameter Regression Approach for Learning-to-Rank Model Adaptation without Target Domain Data
Hongtao Sun, Libin Zheng, and Jian Yin
Weighted Linear Regression with Optimized Gap for Learned Index
Kai Liu, Mengting Song, Wenjie Xu, Keyao Li, Min Peng and Gang Tian
TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Responses Based on Graph Attention
Senthil Ganesan Yuvaraj, Boualem Benatallah, Hamid Reza Motahari-Nezhad, and Fethi Rabhi
Intent identification using few-shot and active learning with user feedback
Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, and Guandong Xu
CLIMB: Imbalanced Data Modelling using Contrastive Learning with Limited Labels
Session 14 – Large Language Models and Their Applications
Ruoyu Wang, Xiaoxuan Li, and Lina Yao
Deconfounded Causality-aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs
Xiaoxuan Li, Yao Liu, Ruoyu Wang, and Lina Yao
Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal Discovery
Muhammad Mudassar Yamin, Ehtesham Hashmi and Basel Katt
Combining Uncensored and Censored LLMs for Ransomware Generation
Sharjeel Tahir, Jumana ABu-Khalaf, Syed Afaq Ali Shah, and Judith Johnson
Therapying Outside the Box: Innovating the Implementation and Evaulation of CBT in Therapeutic Artificial Agents
Yassir LAIRGI, Ludovic MONCLA, Rémy CAZABET, Khalid BENABDESLEM, and Pierre CLÉAU
iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models.
Special Session 15 – Security, Privacy and Trust
Xuyang Liu, Rong Zhao, Bingwen Feng and Jilian Zhang
Privacy-Preserving k-core Decomposition For Graphs
Daniil Fedotov, Jaroslav Kuchar, and Tomas Vitvar
Anomaly Detection in Log Streams based on Time-Contextual Models
Guolou Ping
Enhancing Open-Set Recognition with Global Feature Representation
Samsad Jahan, Yongfeng Ge, Hua Wang and Enamul Kabir
Dynamic-Parameter Genetic Algorithm for Multi-objective Privacy-Preserving Trajectory Data Publishing
Yinhao Jiang, Michael Bewong, Arash Mahboubi, Sajal Halder, Rafiqul Islam, Md Zahidul Islam, Ryan H. L. Ip, Praveen Gauravaram, and Jason Xue
A Graph-Based Approach for Software Functionality Classification on the Web
Session 16 – Social Media and News Analysis
Andrew Bartlett, Waheeb Yaqub, Basem Suleiman and Manoranjan Mohanty
Misinformation in Reels, Influence of Contextual Superimposed Texts in Short Videos
Ansar Iqbal, Waheeb Yaqub, Basem Suleiman and Manoranjan Mohanty
What Did The People Say? Evaluating the Effect of Comment Summarisation Tags on Perceived News Credibility Using Qualitative Approach
Hrishikesh Masurkar, Basem Suleiman, Waheeb Yaqub, and Muhammad Johan Alibasa
Are fact checkers effective in the post truth world? Assessing impact of fact checkers cross medium and platforms
Haoyuan Zeng, Xiang Zeng, Ye Wang, and Bin Zhou
Target-Specific Hate Trend Prediction on Social Network
Josemar Caetano, Humberto T. Marques-Neto and Virgilio Almeida
Characterizing Collective Attention on Online Chats: A Three-Pronged Approach
Session 17 – Recommendation Systems
Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, and Enhong Chen
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation
Xingming Chen, Wenqi Fan, and Qing Li
Causal Behavior Pattern Inference for News Recommendation through Multi-interest Matching
Minghao Mo, Weihai Lu, Qixiao Xie, Zikai Xiao, Xiang Lv, Hong Yang and Yanchun Zhang
MIN: Multi-stage Interactive Network for Multimodal Recommendation
Xihao Xie, Jia Zhang, Chang Liu, Rahul Ramachandran, Tsengdar Lee and Seungwon Lee
RANGER: Context-Aware Service Unit of Work Recommendation for Incremental Scientific Workflow Composition
Fatma Sbiaa, Nadia Boufares, Sonia Kotel and Ahmed Maalel
Optimizing Real Estate Recommendations with Elasticsearch and Machine Learning Techniques
Session 18 – Learning and Optimization
Mohamamd Zavid Parvez, Rafiqul Islam , and Md Zahidul Islam
CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment
Ye Lu, Ji Zhang, Ting Yu, and Gaoming Yang
Equivariant Diffusion-based Sequential Hypergraph Neural Networks with Co-Attention Fusion for Information Diffusion Prediction
Nadir Guermoudi, Houcine Matallah, Amin Mesmoudi, Seif Eddine Benkabou and Allel Hadjali
Selectivity Estimation for Spatial Filters using Optimizer Feedback: A Machine Learning Perspective
Benjamin Zi Hao Zhao, Junda Lu, Xiaowei Zhou, Dinusha Vatsalan, Muhammad Ikram and Mohamed Ali Kaafar
On Adversarial Training with Incorrect Labels
Moncef Garouani, Franck Ravat and Nathalie Valles-Parlangeau
Model Lake: a New Alternative for Machine Learning Models Management and Governance
Zi-Yang Bo, Dan-Ting Duan, Qiang Yang, Xu-Dong Gao, Pei-Lan Xu, Xin Lin, Zhen-Yu Lu and Jun Zhang
A Benchmark Test Suite for Multiple Traveling Salesmen Problem with Pivot Cities
Session 19 – Large Language Models and Their Applications
Yuan-Chen Chang and Esma Aimeur
"Is this site legit?": LLMs for Scam Website Detection
Omar Mussa, Omer Rana, Benoît Goossens, Pablo Orozco-Terwengel and Charith Perera
Towards Enhancing Linked Data Retrieval in Conversational UIs using Large Language Models
Ahmad Sakor, Kuldeep Singh, and Maria-Esther Vidal
BioLinkerAI: Capturing Knowledge using LLMs to Enhance Biomedical Entity Linking
Ada Bagozi, Devis Bianchini, Michele Melchiori and Anisa Rula
Enhancing LLMs Contextual Knowledge with Ontologies for Personalised Food Recommendation
Shuting Yang, Zehui Liu, Wolfgang Mayer, Ningpei Ding, Ying Wang, Yu Huang, Pengfei Wu, Wanli Li, Lin Li, Hongyu Zhang and Zaiwen Feng
ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources
Special Session 20 – Security, Privacy and Trust
Gnanakumar Thedchanamoorthy, Michael Bewong, Meisam Mohammady, Tanveer Zia, and Md Zahidul Islam
FUD-LDP: Fully User Driven Local Differential Privacy
Taslima Khanam, Siuly Siuly, Kate Wang and Zhonglong Zheng
A Privacy-Preserving Encryption framework for Big data analysis
Yanni Han, Zhuoqun Li, Jian Zhang, Zhen Wu, and Ying Ding
Location nearest neighbor query scheme in edge computing based on differential privacy
Session 21 – Security, Privacy and Trust
Matilde Tullii, Solenne Gaucher, Hugo Richard, Eustache Diemert, Vianney Perchet, Alain Rakotomamonjy, Clément Calauzènes and Maxime Vono
Open Research Challenges for Private Advertising Systems under Local Differential Privacy
Mohammed Al Kinoon, Hattan Althebeiti, Ali Al Kinoon, Saeed Salem, Manar Mohaisen and David Mohaisen
Industry-Specific Vulnerability Assessment
Wei Shen, Qian Zhou and Jiayang Wu
Blockchain-Driven Medical Data Shamir Threshold Encryption with Attribute-Based Access Control Scheme
Riham Badra, Layth Sliman and Amine Dhraief
Smart Contracts Vulnerability Detection Using Transformers
Zhiqi Li, Weidong Fang and Wuxiong Zhang
Weibo-FA: A Benchmark Dataset for Fake Account Detection in Weibo Platform
Session 22 – Data Analysis and Optimization
Huanyu Zhao, Tongliang Li, Shiting Wen, Zhenyu Shu, Ke Deng, Jian Yang, and Chaoyi Pang
Representation with Minimized Max-error in Optimal Piecewise Linear Approximation of Time Series Data
Zhaohui Zhang, Pei Zhang, Fujuan Xu, Yifei Tang, Dongxue Zhang, and Pengwei Wang
A Big Data Drilling Method for Value Assessment of Leakage Data
Dildar Ali, Harishchandra Kumar, Suman Banerjee and Yamuna Prasad
An Effective Tag Assignment Approach for Billboard Advertisement
Junfeng Wu, Xiangmin Zhou, Guangyan Huang, Borui Cai, Guang-Li Huang, Hui Zheng, Chi-Hung Chi and Jing He
Early Discovery of Key Innovative Publications by Analyzing Emerging Topic Trends
Haoyu Wang, Bin Wang, Sitong Liu, Xiaochun Yang, Jiahe Wang and Shiyu Yu
Two-Stage Trained Stacking Model for Univariate Time Series Forecasting.
Session 23 – Ai Applications
Weichen Bi, Zijian Shao, Yudong Han, Jiaqi Du, Yuan Wei, Lijuan Guo, Tianchen Wu, Shuang Li and Yun Ma
Web-based AI Assistant for Medical Imaging: A Case Study on Predicting Spontaneous Preterm Birth via Ultrasound Images
Xiaohan Zhang, Xiaolong Chen, Wei Han, Xiaohui Huang, Yunliang Chen, Jianxin Li and Lizhe Wang
Satellite-Driven Deep Learning Algorithm for Bathymetry Extraction
Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, and Shoaib Jameel
Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty
Seyed Shahabadin Nasabeh, Santiago Meliá, Barbara Leporini, and Diana Gadzhimusieva
Empowering Visual Navigation: A Deep-Learning Solution for Enhanced Accessibility and Safety among the Visually Impaired
Laldja Ziani, Anis Chawki Abbes, Mohamed Essaid Khanouche, and Parisa Ghodous
A Transformer and LSTM Model for Electricity Consumption Forecasting and User’s Behavior Influence
Session 24 - Web Systems And Architectures
Di Tian, Juan Chen, Peng Chen, Jie Zhong, Xi Li and Ling Xiong
Deep Reinforcement Learning-based Dependent Task Offloading for QoS Optimization in Satellite Edge Computing
Tinghao Feng, Zeshun Peng, Yanfeng Zhang, Xiaohua Li, Xiaomei Dong, and Ge Yu
HIChain: A Hierarchical IoT Permissioned Blockchain with Edge Cloud Architecture
Christson Awanyo and Nawal Guermouche
Leveraging Deep Learning-based Approach for IoT Service Composition through Local Service Selection
Ao Long, Yuewei Wang, Xiaohui Huang, Wei Han, Runyu Fan, Yunliang Chen and Jianxin Li
An Efficient Device Placement Method for Distributed Training of Multi-branch Neural Network-based Remote Sensing Interpretation
Arije Yahyaoui, Sonia Kotel, Fatma Sbiaa, Lazhar Hamel, Aida Lahouij and Raouda Maraoui Kamoun
A Scalable Approach for Improving IoT Healthcare Systems with Privacy and Permissioned Blockchain
Session 25 – Trustworthy Machine Learning
Yifeng Zheng, Tianchen Xiong, Huajie Ouyang, Songlei Wang, Zhongyun Hua and Yansong Gao
SARA: A Sparsity-Aware Efficient Oblivious Aggregation Service for Federated Matrix Factorization
Yichen Zang, Chengjun Cai, Wentao Dong and Cong Wang
VizardFL: Enabling Private Participation in Federated Learning Systems
Zeming Yao, Lin Li, Leo Yu Zhang, Fusen Guo, Chao Chen and Jun Zhang
Deceptive Waves: Embedding Malicious Backdoors in PPG Authentication
Ahmed Abusnaina, Afsah Anwar, Muhammad Saad, Abdulrahman Alabduljabbar, Rhongho Jang, Saeed Salem and David Mohaisen
Exposing the Limitations of Machine Learning for Malware Detection Under Concept Drift
Sen Peng, Yufei Chen, Cong Wang and Xiaohua Jia
Intellectual Property Protection of Diffusion Models via the Watermark Diffusion Process
Session 26 – Security, Privacy and Trust
Muhammad Ikram I Wayan Budi Sentana, Hassan Asghar, Mohamed Ali Kaafar, and Michal Kepkowski
More Than Just a Random Number Generator! Unveiling the Security and Privacy Risks of Mobile OTP Authenticator Apps
Antoine Boutet, Thomas Lebrun, Tristan Allard, Sébastien Gambs, Louis Beziaud and Mohamed Maouche
Synthetic Data Generation: Limits and Improvement of Avatar Data
Arash Mahboubi Hang Thanh Bui, Hamed Aboutorab, Khanh Luong, Seyit Camtepe, and Keyvan Ansari
A Lightweight Detection of Sequential Patterns in File System Events During Ransomware Attacks
Rouaa Naim, Hams Gelban and Ahmed Badawy
Detection and Mitigation of Backdoor Attacks on x-Apps
Sara Taki, Adrien Boiret, Cédric Eichler and Benjamin Nguyen
Cohesive database neighborhoods for differential privacy: mapping relational databases to RDF
Session 27 – Query Processing and Information Extraction
Yogeswar Lakshmi Narayanan and Hossein Fani
RePair My Queries: Personalized Query Reformulation via Conditional Transformers
Chaofan Zhao and Jing Ren
DORA: A Reliability-Associated Query Optimization Framework for Plan Selection
Zizhao Wang, Qiang Qu, Nan Han, Zhelang Deng, Yizhuo Ma, Xiaowen Huang and Jintao Meng
REXIO: Indexing for Low Write Amplification by Reducing Extra I/Os in Key-Value Store under Mixed Read/Write Workloads
Jin Zhou, Zhi Zheng, Yuanjie Lyu and Tong Xu
Enhancing Multi-Hop Complex Question Answering with LLM-based Pseudo-Document Generation and Adaptive Retrieval
Peng Tian, Xiangyu Shan, Xinpeng Lu, Xueqing Li and Junwu Zhu
ITRA: Incremental Task Replanning Algorithm for multi-UAV Based on Centralized-Distributed Negotiation
Session 28 – Graph Data Management
Hui Wang, Xin Wang, Menglu Ma, and Yiheng You
RPQBench: A Benchmark for Regular Path Queries on Graph Data
Chengguo Li, Xin Wang, Yongqi Yin and Hui Wang
Two Birds One Stone: Dual-Role Path Based Subgraph Matching Using Partial Evaluation
Mohamed Bouadi, Arta Alavi, Salima Benbernou, and Mourad Ouziri
KRAFT: Leveraging Knowlegde Graphs for Interpretable Feature Generation
Faye Wang, Yu Liu and Lei Zou
Neuralizing Graph Edit Distance Computation with Fine-Grained Matching Cost Prediction
Xiaoying Wu, Michael Lan, Md Rakibul Hasan and Dimitri Theodoratos
Scalable Optimization of Graph Pattern Queries Using Summary Graphs
Session 29 – PhD Symposium
Session 30 – Trustworthy Machine Learning
Yousra Chahinez Hadj Azzem, Fouzi Harrag and Ladjel Bellatreche
Evaluating Contrastive and Non-Contrastive Explanations for Language Models: A Study on Faithfulness and Plausibility
Xinqian Wang, Xiaoning Liu, Xun Yi, Xuechao Yang and Iqbal Gondal
Model Extraction Attacks on Privacy-Preserving Deep Learning based Medical Services
Jan Aalmoes, Vasisht Duddu and Antoine Boutet
On the Alignment of Group Fairness with Attribute Privacy
Session 31 – Security, Privacy and Trust
Alexia Dini Kounoudes, Georgia Kapitsaki and Ioannis Katakis
i-Right: Identifying and classifying GDPR user rights in fitness tracker and smart home privacy policies
Pritam Deka, Sampath Rajapaksha, Ruby Rani, Amirah Almutairi and Erisa Karafili
AttackER: Towards Enhancing Cyber-Attack Attribution with a Named Entity Recognition Dataset
Tamer Ahmed Eltaras, Qutaibah Malluhi, Alessandro Savino, Stefano Di Carlo and Adnan Qayyum
R-CONV: An Analytical Approach for Efficient Data Reconstruction via Convolutional Gradients
Farouk Damoun, Hamida Seba and Radu State
Privacy Preserving Behavioral Anomaly Detection in Dynamic Graphs for Card Transactions
Session 32 – Query Processing and Information Extraction
Delaram Rajaei, Zahra Taheri and Hossein Fani
Enhancing RAG’s Retrieval via Query Backtranslations
Hala Saadeh and Joe Tekli
Hierarchical Indexing for Interactive Zooming of Document Clusters
Jinlong Zheng, Yujie Lu and Weiguo Zheng
Distributed k-hop Query Powered by an Asynchronous Framework
Bajeela Aejas, Abdelhak Belhi and Abdelaziz Bouras
Contract Clause Extraction Using Question- Answering Task
Session 33 – Graph Data Management
Riccardo Pozzi, Valentina Barbera, Renzo Alva Principe, Davide Giardini, Riccardo Rubini and Matteo Palmonari
Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations
Lingzhi Xiang, Qing Li, Xiang Li and Xingchun Diao
G-ETI: Incorporating Graph Information for Improved Unsupervised Event Type Induction
Tsuyoshi Hasegawa, Shiori Hironaka and Kazuyuki Shudo
Estimation of Graph Features Based on Random Walks Using Neighbors' Properties
Hao Huang and Maria-Esther Vidal
SemMatch: Semantics-Aware Matching for Causal Inference over Knowledge Graphs
Session 35 – Text and Sentiment Analysis
Kelvin Z. Yeung, Flavius Frasincar, and Finn van der Knaap
Explaining a Deep Learning Model for Aspect-Based Sentiment Analysis Using SHAP
Charlotte Visser and Flavius Frasincar
Knowledge Injection from a Domain Sentiment Ontology in an Attention Neural Network for Aspect-Based Sentiment Classification
Steinar Horst and Flavius Frasincar
Multilingual, Cross-lingual, and Unilingual Models for ABSC
Marwah Alharbi, Jiao Yin, Yuan Miao, and Jinli Cao
From Data to Insights: Constructing and Evaluating a Hospitality Dataset for Quadruple Aspect-Based Sentiment Analysis
David-Gabriel Ion, Răzvan-Alexandru Smădu, Dumitru-Clementin Cercel, Florin Pop and Mihaela-Claudia Cercel
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition
Session 36 – PhD Symposium
S37 – Ai Applications
Amal Alharbi and Samaher Alozayri
Enhancing Customer Service Efficiency in the Holy Makkah Municipality Using Machine Learning
Mohammad Mominur Rahman, Areej Babiker and Raian Ali
Motivation, Concerns, and Attitudes Towards AI: Differences by Gender, Age, and Culture
Amjad Rattrout, Hussein Younis and Ahmad Bsiesy
DefectClassifierX: A Cross-Platform Automated Pattern Classification System for Wafer Defects
Khedher Ibtissem, Faci Noura, and Faiz Sami
Safe-Path: A Perspective on Next-Generation Road Safety Recommendations
Angela Moufarrej, Abdulkader Fatouh and Joe Tekli
Unsupervised and Dynamic Dendrogram-based Visualization of Medical Data
Asma Mansour, Olfa Besbes and Takoua Abdellatif
Federated Deep Learning Models for Stroke Prediction
S38 – Web Systems and Architectures
Wafa Ben Slama Souei, Benoit Charroux, Layth Sliman and Raoudha Ben Djemaa
Towards Blockchain like SOA
Karim Benouaret and Mohamed Essaid Khanouche
Clustering-Based Diversity in Service Recommendation
Devis Bianchini, Valeria De Antonellis, Massimiliano Garda and Michele Melchiori
Resource-based Blockchain Integration in Agri-Food Supply Chains
Zakaria Maamar, Amel Benna, Sami Yangui, Mickaël Pezongo, and Ejub Kajan
On-Demand Bundling of Cloud and Edge Services
João Paulo Moleiro Domingues and Catarina Ferreira da Silva
Acceptance and use of smart home technologies: a focus on Portugal
Session 39 – Web-for-Good Workshop
Session 40 – AIWDA Workshop