ENGLISH

Web Information Systems Engineering – WISE 2019: 20th International Conference, Hong Kong, China, November 26–30, 2019, Proceedings

Book information

Publisher
Springer International Publishing
Year
2019
ISBN
978-3-030-34222-7, 978-3-030-34223-4
Language
english
Format
PDF
Filesize
52 MB (54411408 bytes)
Series
Lecture Notes in Computer Science 11881
Edition
1st ed. 2019
Pages
XVII, 812\812
Time added
2020-02-08 04:42:06

Description

This book constitutes the proceedings of the 20th International Conference on Web Information Systems Engineering, WISE 2019, held in Hong Kong, China, in November 2019. The 50 full papers presented were carefully reviewed and selected from 211 submissions. The papers are organized in the following topical sections: blockchain and crowdsourcing; machine learning; deep learning; recommender systems, data mining; web-based applications; entity linkage and disambiguation; graph learning; knowledge graphs; graph mining; and text mining. Front Matter ....Pages i-xvii Front Matter ....Pages 1-1 GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing (Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang, Mei Wang)....Pages 3-17 Detecting Fraudulent Accounts on Blockchain: A Supervised Approach (Michał Ostapowicz, Kamil Żbikowski)....Pages 18-31 Locking Mechanism for Concurrency Conflicts on Hyperledger Fabric (Lu Xu, Wei Chen, Zhixu Li, Jiajie Xu, An Liu, Lei Zhao)....Pages 32-47 Handling Conditional Queries on Hyperledger Fabric Efficiently (Tianlu Yan, Wei Chen, Pengpeng Zhao, Zhixu Li, An Liu, Lei Zhao)....Pages 48-62 Front Matter ....Pages 63-63 Learning to Fuse Multiple Semantic Aspects from Rich Texts for Stock Price Prediction (Ning Tang, Yanyan Shen, Junjie Yao)....Pages 65-81 Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization (Thirunavukarasu Balasubramaniam, Richi Nayak, Chau Yuen)....Pages 82-97 Learning Restricted Deterministic Regular Expressions with Counting (Xiaofan Wang, Haiming Chen)....Pages 98-114 Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning (Yun Ma, Xudong Mao, Yangbin Chen, Qing Li)....Pages 115-129 Front Matter ....Pages 131-131 Dual Path Convolutional Neural Network for Student Performance Prediction (Yuling Ma, Jian Zong, Chaoran Cui, Chunyun Zhang, Qizheng Yang, Yilong Yin)....Pages 133-146 A Case Based Deep Neural Network Interpretability Framework and Its User Study (Rimmal Nadeem, Huijun Wu, Hye-young Paik, Chen Wang)....Pages 147-161 Personalized Book Recommendation Based on a Deep Learning Model and Metadata (Yiu-Kai Ng, Urim Jung)....Pages 162-178 DINRec: Deep Interest Network Based API Recommendation Approach for Mashup Creation (Yong Xiao, Jianxun Liu, Rong Hu, Buqing Cao, Yingcheng Cao)....Pages 179-193 Front Matter ....Pages 195-195 Co-purchaser Recommendation Based on Network Embedding (Jihong Chen, Wei Chen, Jinjing Huang, Jinhua Fang, Zhixu Li, An Liu et al.)....Pages 197-211 Community-Based Recommendations on Twitter: Avoiding the Filter Bubble (Quentin Grossetti, Cédric du Mouza, Nicolas Travers)....Pages 212-227 Memory-Augmented Attention Network for Sequential Recommendation (Cheng Hu, Peijian He, Chaofeng Sha, Junyu Niu)....Pages 228-242 Multi-head Attentive Social Recommendation (Xu Luo, Chaofeng Sha, Zijing Tan, Junyu Niu)....Pages 243-258 CPL: A Combined Framework of Pointwise Prediction and Learning to Rank for top-N Recommendations with Implicit Feedback (Nengjun Zhu, Jian Cao)....Pages 259-273 Front Matter ....Pages 275-275 RTIM: A Real-Time Influence Maximization Strategy (David Dupuis, Cédric du Mouza, Nicolas Travers, Gaël Chareyron)....Pages 277-292 LSCMiner: Efficient Low Support Closed Itemsets Mining (Yifeng Lu, Florian Richter, Thomas Seidl)....Pages 293-309 Pattern Filtering Attention for Distant Supervised Relation Extraction via Online Clustering (Min Peng, Qingwen Liao, Weilong Hu, Gang Tian, Hua Wang, YanChun Zhang)....Pages 310-325 Adaptive Rule Adaptation in Unstructured and Dynamic Environments (Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah, Moshe Chai Barukh)....Pages 326-340 Shadowed Authorization Policies - A Disaster Waiting to Happen? (Ehtesham Zahoor, Uzma Bibi, Olivier Perrin)....Pages 341-355 Front Matter ....Pages 357-357 A Dynamic Decision-Making Method Based on Ensemble Methods for Complex Unbalanced Data (Dong Chen, Xiao-Jun Wang, Bin Wang)....Pages 359-372 Collaborative Wireframing for Model-Driven Web Engineering (Peter de Lange, Petru Nicolaescu, Mario Rosenstengel, Ralf Klamma)....Pages 373-388 Handling Disagreement in Ontologies-Based Reasoning via Argumentation (Said Jabbour, Yue Ma, Badran Raddaoui)....Pages 389-406 A Cost-Efficient Multi-cloud Orchestrator for Benchmarking Containerized Web-Applications (Devki Nandan Jha, Zhenyu Wen, Yinhao Li, Michael Nee, Maciej Koutny, Rajiv Ranjan)....Pages 407-423 Highlighting Weasel Sentences for Promoting Critical Information Seeking on the Web (Fumiaki Saito, Yoshiyuki Shoji, Yusuke Yamamoto)....Pages 424-440 Generating an Evolving Skills Network from Job Adverts for High-Demand Skillset Discovery (Elisa Margareth Sibarani, Simon Scerri)....Pages 441-457 Picture News Collection: A Dataset for Automatic Picture News Thumbnail Selection (Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xian-Ling Mao)....Pages 458-472 A Graph-Based Approach to Explore Relationship Between Hashtags and Images (Zhiqiang Zhong, Yang Zhang, Jun Pang)....Pages 473-488 Front Matter ....Pages 489-489 RDF Graph Anonymization Robust to Data Linkage (Remy Delanaux, Angela Bonifati, Marie-Christine Rousset, Romuald Thion)....Pages 491-506 WebEL: Improving Entity Linking with Extra Web Contexts (Yiting Wang, Zhixu Li, Qiang Yang, Zhigang Chen, An Liu, Guanfeng Liu et al.)....Pages 507-522 Entity Disambiguation Based on Parse Tree Neighbours on Graph Attention Network (Kexuan Xin, Wen Hua, Yu Liu, Xiaofang Zhou)....Pages 523-537 Bibliographic Name Disambiguation with Graph Convolutional Network (Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang)....Pages 538-551 Front Matter ....Pages 553-553 Semi-supervised Graph Embedding for Multi-label Graph Node Classification (Kaisheng Gao, Jing Zhang, Cangqi Zhou)....Pages 555-567 Structural Role Enhanced Attributed Network Embedding (Zhao Li, Xin Wang, Jianxin Li, Qingpeng Zhang)....Pages 568-582 Context-Aware Temporal Knowledge Graph Embedding (Yu Liu, Wen Hua, Kexuan Xin, Xiaofang Zhou)....Pages 583-598 Interaction Graph Neural Network for News Recommendation (Yongye Qian, Pengpeng Zhao, Zhixu Li, Junhua Fang, Lei Zhao, Victor S. Sheng et al.)....Pages 599-614 Front Matter ....Pages 615-615 Gated Relational Graph Neural Network for Semi-supervised Learning on Knowledge Graphs (Yuyan Chen, Lei Zou, Zongyue Qin)....Pages 617-629 Multiple Interaction Attention Model for Open-World Knowledge Graph Completion (Chenpeng Fu, Zhixu Li, Qiang Yang, Zhigang Chen, Junhua Fang, Pengpeng Zhao et al.)....Pages 630-644 OntoDS: An Ontology-Aware Distributed Storage Scheme for RDF Graphs (Baozhu Liu, Xin Wang, Yajun Yang, Yunpeng Chai)....Pages 645-659 Learning Relational Fractals for Deep Knowledge Graph Embedding in Online Social Networks (Ji Zhang, Leonard Tan, Xiaohui Tao, Dianwei Wang, Josh Jia-Ching Ying, Xin Wang)....Pages 660-674 Front Matter ....Pages 675-675 Parameter-Free Structural Diversity Search (Jinbin Huang, Xin Huang, Yuanyuan Zhu, Jianliang Xu)....Pages 677-693 CoreCube: Core Decomposition in Multilayer Graphs (Boge Liu, Fan Zhang, Chen Zhang, Wenjie Zhang, Xuemin Lin)....Pages 694-710 Computing Maximum Independent Sets over Large Sparse Graphs (Maram Alsahafy, Lijun Chang)....Pages 711-727 Fast Algorithms for Intimate-Core Group Search in Weighted Graphs (Longxu Sun, Xin Huang, Rong-Hua Li, Jianliang Xu)....Pages 728-744 Front Matter ....Pages 745-745 Unsupervised Ontology- and Sentiment-Aware Review Summarization (Nhat X. T. Le, Neal Young, Vagelis Hristidis)....Pages 747-762 Enriching the Context: Methods of Improving the Non-contextual Assessment of Sentence Credibility (Aleksandra Nabożny, Bartłomiej Balcerzak, Danijel Koržinek)....Pages 763-778 ConceptMap: A Conceptual Approach for Formulating User Preferences in Large Information Spaces (Alireza Tabebordbar, Amin Beheshti, Boualem Benatallah)....Pages 779-794 Helpfulness Prediction for Online Reviews with Explicit Content-Rating Interaction (Jiahua Du, Jia Rong, Hua Wang, Yanchun Zhang)....Pages 795-809 Back Matter ....Pages 811-812

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