Web Information Systems Engineering ¿ WISE 2022

23rd International Conference, Biarritz, France, November 1¿3, 2022, Proceedings
Herausgegeben:Chbeir, Richard; Huang, Helen; Silvestri, Fabrizio; Manolopoulos, Yannis; Zhang, Yanchun

• Broschiertes Buch

Produktbeschreibung

This book constitutes the proceedings of the 23nd International Conference on Web Information Systems Engineering, WISE 2021, held in Biarritz, France, in November 2022.

The 31 full, 13 short and 3 demo papers were carefully reviewed and selected from 94 submissions. The papers are organized in the following topical sections:

Social Media, Spatial & Temporal Issues, Query Processing & Information Extraction, Architecture and Performance, Graph Data Management, Security & Privacy, Information Retrieval & Text Processing, Reinforcement Learning, Learning & Optimization, Spatial Data Processing, Recommendation, Neural Networks, and Demo Papers.

Produktdetails

• Lecture Notes in Computer Science 13724
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-20890-4
• 1st ed. 2022
• Seitenzahl: 684
• Erscheinungstermin: 6. November 2022
• Englisch
• Abmessung: 235mm x 155mm x 37mm
• Gewicht: 1019g
• ISBN-13: 9783031208904
• ISBN-10: 3031208900
• Artikelnr.: 65979552

Inhaltsangabe

Social Media.- Utilizing Social Media Retweeting for Improving Event Participant Prediction.- A Domain-independent Method for Thematic Dataset Building from Social Media: The Case of Tourism on Twitter.- Domain Adversarial Training for Aspect-Based Sentiment Analysis.- Social Community Evolution Analysis and Visualization in Open Source Software Projects.- Spatial & Temporal Issues.- Hop-constrained s-t Simple Path Enumeration in Billion-scale Labelled Graphs.- Complex Question Answering over Temporal Knowledge Graphs.- Hotspots Recommender: Spatio-temporal Prediction of Ride-hailing and Taxicab Services.- Query Processing & Information Extraction.- Towards a Co-Selection Approach for a Global Explainability of Black Box Machine Learning Models.- A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks.- An Unsupervised Approach to Genuine Health Information Retrieval based on Scientific Evidence.- Explaining Unexpected Answers of SPARQL Queries.- Architecture and Performance I.- Bitcoin Transaction Confirmation Time Prediction: A Classification Review.- Offworker: An Offloading Framework for Parallel Web Applications.- High-Performance Transaction Processing for Web Applications Using Column-Level Locking.- sGrid++ : Revising Simple Grid based Density Estimator for Mining Outlying Aspect.- Architecture and Performance II.- LinGBM: A Performance Benchmark for Approaches to Build GraphQL Servers.- A Service-based Framework for Adaptive Data Curation in Data Lakehouses.- Retrofitting Industrial Machines with WebAssembly on the Edge.- Graph Data Management.- Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features.- Rumor Detection in Social Network via Influence based on Bi-Directional Graph Convolutional Network.- Efficient Truss Computation for Large Hypergraphs.- Security & Privacy.- Identifying Privacy Risks raised by Utility Queries.- An Empirical Assessment of Security and Privacy Risks of Web-based Chatbots.- An Information-Driven Genetic Algorithm for Privacy-Preserving Data Publishing.- Information Retrieval & Text Processing.- Enhanced Topic Representation by Ambiguity Handling.- Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge.- Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning.- Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation.- Reinforcement Learning.- Incorporating News Summaries for Stock Predictions via Graphical Learning.- Bootstrapping Joint Entity and Relation Extraction with Reinforcement Learning.- EEML: Ensemble Embedded Meta-learning.- Click is not equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation.- Learning & Optimization.- Multi-document Question Answering Powered by External Knowledge.- A Learning-based Approach for Multi-scenario Trajectory Similarity Search.- Transformer-based Cache Replacement Policy Learning.- Spatial Data Processing.- Conats: A Novel Framework for Cross-Modal Map Extraction.- Attentive Knowledge-aware Path Network for Explainable Travel Mashup.- Extra Budget-aware Online Task Assignment in Spatial Crowdsourcing.- Recommendation.- TUR: Utilizing Temporal Information to Make Unexpected E-commerce Recommendations.- Towards Robust Recommender Systems via Triple Cooperative Defense.- Graph Collaborative Filtering for Recommendation in Complex and Quaternion Spaces.- Neural Networks.- Event Source Page Discovery via Policy-based RL with Multi-Task Neural Sequence Model.- Triplet Embedding Convolutional Recurrent Neural Network for Long Text Semantic Analysis.- Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction.- Demo Papers.- RDF_QDAG in action: Efficient RDF Data querying at scale.- Multi-source Logistics Data Management Architecture.- TCPMS-FCP: A Traffic Congestion Pattern Mining System Based on Spatio-temporal Fuzzy Co-location Patterns