Sessions



S1: Big Data Techniques

Time: 10:30-12:00 on November 1st

Room: Niece

Chair: Jie Shao

  • (Regular)9, Jie Zhu, Soochow University; Wei Jiang, Soochow University; An Liu, Soochow University; Guanfeng Liu, Soochow University; Lei Zhao*, Soochow University.
    Time-dependent Popular Routes Based Trajectory Outlier Detection
  • (Regular)13, Wei Jiang, Soochow University; Jie Zhu, Soochow University; Xu Jiajie, ; Li Zhixu, ; Zhao Pengpeng, ; Lei Zhao*, Soochow University.
    HV: A Feature Based Method for Trajectory Dataset Profiling
  • (Regular)180, Deepak Puthal*, UTS; Surya Nepal, CSIRO Australia; Rajiv Ranjan, CSIRO; Jinjun Chen, UTS.
    A Dynamic Key Length based Approach for Real-Time Security Verification of Big Sensing Data Stream

S2: Social issues of Web Applications

Time: 10:30-12:00 on November 1st

Room: Cannes

Chair: Devis Bianchini

  • (Regular)69, Kinda El Maarry*, TU Braunschweig, IFIS; Wolf-Tilo Balke, TU Braunschweig, IFIS institut; Ulrich Güntzer, nst. f. Informatik, Universität Tübingen.
    A Majority of Wrongs Doesn't Make it Right - On Crowdsourcing Quality for Skewed Domain Tasks
  • (Regular)123, Yihong Zhang*, University of Adelaide; Claudia Szabo, University of Adelaide; Quan Z. Sheng, University of Adelaide; Xiu Fang, The University of Adelaide.
    Classifying Perspectives on Twitter: Immediate Observation, Affection, and Speculation
  • (Short)85, Stefano Cresci*, IIT-CNR; Andrea Cimino, ILC-CNR; Felice Dell'Orletta, ILC-CNR; Maurizio Tesconi, IIT-CNR.
    Crisis Mapping during Natural Disasters via Text Analysis of Social Media Messages
  • (Short)100, Saki Ueda*, University of Tsukuba; Yuto Yamaguchi, ; Kitagawa Hiroyuki, University of Tsukuba; Toshiyuki Amagasa, .
    Tweet Location Inference based on Contents and Temporal Association

S3: Deep/Hidden Web

Time: 10:30-12:00 on November 1st

Room: Marseille

Chair: Yanchun Zhang

  • (Regular)89, YAN WANG*, CUFE; Yaxin Li, CUFE; Nannan Pi, CUFE; Jianguo Lu, CUFE.
    Crawling Ranked Deep Web Data Sources
  • (Regular)140, Jose Losada*, University of A Coruña; Juan Raposo, ; Alberto Pan, ; Paula Montoto, ; Manuel Álvarez, .
    A Custom Browser Architecture to Execute Web Navigation Sequences
  • (Short)16, Hang Yu*, Shanghai University; Feiyue Ye, Shanghai University.
    Research on Automate Discovery of Deep Web Interfaces
  • (Short)74, Zhen Xu*, University of Alberta; James Miller, .
    A New Webpage Classification Model based on Visual Information using Gestalt Laws of Grouping

S4: Big Data and Mining Techniques

Time: 13:30-15:00 on November 1st

Room: Niece

Chair: Dingding Wang

  • (Regular)66, Ritwik Sinha*, Adobe Research; Sanket Mehta, Adobe Research; Tapan Bohra, IIT Kanpur; Adit Krishnan, .
    Improving Marketing Interactions by Mining Sequences
  • (Regular)76, Verena Kantere*, University of Geneva; Maxim Filatov, University of Geneva.
    Modelling Processes of Big Data Analytics
  • (Short)42, WeiBang Li*, NWPU; Zhanhuai li, Northwestern Polytechnical University; Qun Chen, ; Tao Jiang, ; Hailong Liu, .
    Discovering Functional Dependencies in vertically distributed big data
  • (Short)163, Mourad Ouziri*, University Paris Descartes; Salima Benbernou, University Paris Descartes; Xin Huang, University Paris Descartes.
    Fusion of Big RDF Data: A Semantic Entity Resolution and Query Rewriting-based Inferences Approach

S5: Social Network Computing

Time: 13:30-15:00 on November 1st

Room: Cannes

Chair: Marek Rusinkiewicz

  • (Regular)35, Robertus Nugroho*, Macquarie University; Weiliang Zhao, Macquarie University; Jian Yang, Macquarie University; Cecile Paris, CSIRO Australia; Surya Nepal, CSIRO Australia; Yan Mei, Macquarie University.
    Time-sensitive Topic Derivation in Twitter
  • (Regular)188, Xiang Wang*, School of Computer, National University of Defense Technology, Changsha, China; Bin Zhou, School of Computer, National University of Defense Technology, Changsha, China; Yan Jia, School of Computer, National University of Defense Technology, Changsha, China; Shasha Li, School of Computer, National University of Defense Technology, Changsha, China.
    Detecting Internet Hidden Paid Posters based on Group and Individual Characteristics
  • (Short)168, Davide Feltoni Gurini*, Roma Tre University; Giuseppe Sansonetti, Roma Tre University; Alessandro Micarelli, Roma Tre University; Fabio Gasparetti, Roma Tre University.
    Enhancing Social Recommendation with Sentiment Communities
  • (Short)112, Zhaoyun Ding*, NUDT.
    Finding Influential Users and Popular Contents on Twitter

S6: Big Data Applications

Time: 15:30-17:00 on November 1st

Room: Niece

Chair: Hideyuki Takada

  • (Regular)45, Daniel Bahrdt, University of Stuttgart; Stefan Funke*, University of Stuttgart.
    OSCAR: OpenStreetMap Planet at your fingertips via OSm Cell ARrangements
  • (Regular)147, Cristina Kadar*, ETH Zurich; Grammatiki Zanni, ETH Zurich; Irena Pletikosa Cvijikj, ETH Zurich; Thijs Vogels, ETH Zurich.
    Towards a Burglary Risk Profiler Using Demographic and Spatial Factors
  • (Short)146, Haiying Zhang*, Xiamen university ; Li Tao, ; yang Gao, xiamen university.
    The detection and multiple dim small targets based on iterative density clustering and SURF descriptor
  • (Short)52, Taufik Sutanto*, Queensland Univ. of Technology; Richi Nayak, QUT.
    Semi-Supervised Document Clustering via Loci

S7: Social Web

Time: 15:30-17:00 on November 1st

Room: Cannes

Chair: Frederique Laforest

  • (Regular)47, Xiao Ma*, Hust; Hongwei Lu, Hust; Zaobin Gan, Hust.
    Implicit Trust and Distrust Prediction for Recommender Systems
  • (Regular)64, Weishu Hu*, University of Macau; Haitao Zou, Jiangsu University of Science and Technology; Zhiguo Gong, .
    Temporal PageRank on Social Networks
  • (Short)134, Chaozhuo Li*, Beihang University; Fang Wang, ; Yang Yang, ; Zhoujun Li, Beihang University; Xiaoming Zhang, .
    Exploring Social Network Information for Solving Cold Start in Product Recommendation
  • (Short)150, Amine Abdaoui*, LIRMM; Jérôme Azé, LIRMM; Sandra Bringay, LIRMM; Pascal Poncelet, LIRMM.
    Collaborative Content-Based Method for Estimating User Reputation in Online Forums

S8: Web Data Integration and Mashups

Time: 10:30-12:00 on November 2nd

Room: Niece

Chair: Zhiguo Gong

  • (Regular)63, Sixuan Wang*, Carleton University; Gabriel Wainer, Carleton University.
    A Mashup Architecture with Modeling and Simulation as a Service
  • (Regular)184, Jun Wang*, Wuhan University.
    Cross-Domain Collaborative Recommendation by Transfer Learning of Heterogeneous Feedbacks
  • (Regular)136, Nacéra Bennacer*, CentraleSupélec, LRI; Mia johnson Vioulès, centraleSupélec; Maximiliano López, CentraleSupélec; gianluca Quercini, CentraleSupélec, LRI.
    A Multilingual Approach to Discover Cross-language Links in Wikipedia

S9: Web Privacy and Security

Time: 10:30-12:00 on November 2nd

Room: Cannes

Chair: Shu-Ching Chen

  • (Regular)126, Lu Wang*, Renmin University of China; Ruxia Ma, Renmin University; Xiaofeng Meng, Renmin University of China.
    Evaluating k Nearest Neighbor Query on Road Networks with No Information Leakage
  • (Regular)106, Yanfang Ye*, West Virginia University.
    Analyzing File-to-File Relation Network in Malware Detection
  • (Regular)157, Ming Ni*, NJUST; Qianmu Li, ; Hong Zhang, ; Tao Li, ; Jun Hou, .
    File Relation Graph Based Malware Detection Using Label Propagation

S10: Integration of Web with IoT

Time: 10:30-12:00 on November 2nd

Room: Monte Carlo

Chair: Richi Nayak

  • (Regular)62, Jaewook Byun*, KAIST; Daeyoung Kim, KAIST.
    EPC Graph Information Service: Enhanced object traceability on unified and linked EPCIS events
  • (Regular)117, Ali Shemshadi*, The University of Adelaide; Lina Yao, The University of Adelaide; Yongrui Qin, The University of Adelaide; Quan Z. Sheng, University of Adelaide; Yihong Zhang, University of Adelaide.
    ECS: A Framework for Diversified and Relevant Search in the Internet of Things
  • (Regular)120, Yihong Zhang*, University of Adelaide; Claudia Szabo, University of Adelaide; Quan Z. Sheng, University of Adelaide.
    Sense and Focus: Towards Effective Location Inference and Event Detection on Twitter

S11: Web Data Models

Time: 13:30-15:00 on November 2nd

Room: Niece

Chair: Junhu Wang

  • (Regular)84, Meghanath Yadagiri*, Adobe Systems; Shiv Kumar Saini, Adobe; Ritwik Sinha, Adobe Research.
    A non-parametric approach to the Multi-channel attribution problem
  • (Regular)20, Ahmed Tayeh*, Vrije Universiteit Brussel; Beat Signer, Vrije Universiteit Brussel.
    A Dynamically Extensible Open Cross-Document Link Service
  • (Regular)60, Hanhan Jiang, Soochow; Zhao Pengpeng*, ; Victor Sheng, University of Centeral Arkansas; Guanfeng Liu, Soochow University; An Liu, Soochow University; wu jian, ; cui zhiming, .
    An Efficient Location-Aware Publish/Subscribe Index with Boolean Expressions

S12: Web Information Retrieval

Time: 13:30-15:00 on November 2nd

Room: Cannes

Chair: Dimitrios Theodoratos

  • (Regular)86, Jiyi Li*, Kyoto University; Yasuhito Asano, Kyoto University; Toshiyuki Shimizu, Kyoto University; Masatoshi Yoshikawa, Kyoto University.
    A Dynamic-Static Approach of Model Fusion for Document Similarity Computation
  • (Regular)27, Fang Hailin, Soochow University; Zhao Pengpeng*, ; Victor Sheng, University of Centeral Arkansas; Li Zhixu, ; xu jiajie, ; wu jian, ; cui zhiming, .
    Ranked Reverse Boolean Spatial Keyword Nearest Neighbors Search
  • (Regular)174, Jialin Chi*, TCA Laboratory, ISCAS; Cheng Hong, ISCAS; Min Zhang, ISCAS; Zhenfeng Zhang, ISCAS.
    Privacy-Enhancing Range Query Processing over Encrypted Cloud Databases

S13: Web-based recommendations

Time: 13:30-15:00 on November 2nd

Room: Monte Carlo

Chair: Byeong Ho Kang

  • (Regular)22, Zelin Wang*, Wuhan University; Zhijian Wu, Wuhan University; Ruimin Wang, ; Yafeng Ren, Wuhan University.
    Twitter Sarcasm Detection Exploiting A Context-based Model
  • (Regular)164, Devis Bianchini*, University of Brescia; Valeria De Antonellis, University of Brescia; Michele Melchiori, University of Brescia.
    A Web-based Application for Semantic-driven Food Recommendation with Reference Prescriptions
  • (Regular)155, Wei Xue*, Florida International Universi; Tao Li, .
    Aspect and Ratings Inference with Aspect Ratings: Supervised Generative Models for Mining Hotel Reviews

S14: Linked Open Data

Time: 15:30-17:00 on November 2nd

Room: Niece

Chair: Toshiyuki Amagasa

  • (Regular)32, Xuedong Lyu*, Tianjin University.
    GraSS: An Efficient Method for RDF Subgraph Matching
  • (Regular)143, Ran Yu*, Leibniz Universität Hannover; Ujwal Gadiraju, Leibniz Universität Hannover; Besnik Fetahu, Leibniz Universität Hannover; Stefan Dietze, Leibniz Universität Hannover.
    Adaptive Focused Crawling of Linked Data
  • (Regular)49, Klitos Christodoulou*, University of Manchester; Norman Paton, University of Manchester; Alvaro A. A. Fernandes, University of Manchester.
    Combining Syntactic and Semantic Evidence for Improving Matching over Linked Data Sources

S15: Web Information Extraction

Time: 15:30-17:00 on November 2nd

Room: Cannes

Chair: Wojciech Cellary

  • (Regular)153, Sean Sanders*, University of North Carolina; Gautam Sanka, ; Jay Aikat, ; Jasleen Kaur, .
    The Influence of Client Platform On Web Page Content: Measurements, Analysis, and Implications
  • (Regular)149, Sheetal Takale*, VPCOE; Prakash Kulkarni, Walchand College of Engineering, Sangli.
    Extract Knowledge about Geo-Location Using Context and Content Information of Geo-Tagged Social Media
  • (Regular)109, Yong Zheng*, DePaul University; Bamshad Mobasher, DePaul University; Robin Burke, DePaul University.
    Similarity-Based Context-Aware Recommendation

S16: Semantic Web

Time: 10:30-12:00 on November 3rd

Room: Niece

Chair: Thin Nguyen

  • (Regular)56, Abdul Wahid*, Victoria University; Xiaoying Gao, Victoria University of Wellington; Peter Andreae, Victoria University of Wellington.
    A Soft Subspace Clustering Method for Text Data using a Probability Based Feature Weighting Scheme
  • (Regular)10, Sven de Ridder, ; Flavius Frasincar*, Erasmus University Rotterdam.
    Temporally Enhanced Ontologies in OWL: A Shared Conceptual Model and Reference Implementation
  • (Regular)171, Ananya Dass, New Jersey Institute of Technology; Aggeliki Dimitriou, National Technical University of Athens; Cem Aksoy, New Jersey Institute of Technology; Dimitri Theodoratos*, New Jersey Institute of Technology.
    Incorporating Cohesiveness into Keyword Search on Linked Data

S17: Analysis of Social Networks

Time: 10:30-12:00 on November 3rd

Room: Normandy

Chair: Jiyi Li

  • (Regular)95, Chengguang Shen, Dalian University of Technolog; Ryo Nishide, ; Piumarta Ian, ; Hideyuki Takada, ; Wenxin Liang*, .
    Influence Maximization in Signed Social Networks
  • (Regular)121, Yan Mei*, Macquarie University; Zizhu Zhang, ; Weiliang Zhao, ; Jian Yang, Macquarie University; Robertus Nugroho, Macquarie University.
    A Hybrid Feature Selection Method for Predicting User Influence on Twitter
  • (Short)169, Soyeon Han*, University of Tasmania; Hyunsuk Chung, University of Tasmania; Byeong Kang, University of Tasmania.
    Trending Topics Rank Prediction
  • (Short)75, Luciano Barbosa*, IBM Research; Guilherme Ferreira, .
    Extracting Records and Posts from Forum Pages with Limited Supervision

S18: Web search

Time: 10:30-12:00 on November 3rd

Room: Monte Carlo

Chair: Yicheng Tu

  • (Regular)46, Natwa Modani*, Adobe Research, India; Elham Khabiri, IBM Research, US; Harini Srinivasan, IBM Research, US; James Caverlee, Texas A&M University.
    Creating Diverse Product Review Summaries: A Graph Approach
  • (Regular)132, Jing Hsu*, UNSW; Helen Paik, UNSW; Liming Zhan, UNSW.
    Similarity Search over Personal Process Description Graph
  • (Regular)176, Ye Wang*, Victoria University; Hu Li, NUDT; Hua Wang, Victoria University, Melbourne; Bin Zhou, ; Yanchun Zhang, .
    Multi-Window Based Ensemble Learning for Classification of Imbalanced Streaming data

S19: Web Services Composition

Time: 13:30-15:00 on November 3rd

Room: Normandy

Chair: Xiaoying Gao

  • (Regular)145, Amine Louati*, Université Paris Dauphine, LA; Joyce EL HADDAD, Université Paris Dauphine, LAMSADE CNRS UMR 7243, France; Suzanne PINSON, Université Paris-Dauphine, LAMSADE CNRS UMR 7243, France.
    Trust-Based Coalition Formation for Dynamic Service Composition in Social Networks
  • (Regular)88, ABBASSI IMED*, ENIT, Tunisia; Mohamed Graiet, ISIMM, Tunisia; Walid Gaaloul, ; Nejib Ben Hadj-Alouane, .
    Genetic-based Approach for ATS and SLA-aware Web Services Composition
  • (Short)24, Nienke de Boer, Erasmus University Rotterdam; Tjian Lam, Erasmus University Rotterdam; Marijtje van Leeuwen, Erasmus University Rotterdam; Ruud van Luijk, Erasmus University Rotterdam; Kim Schouten*, Erasmus University Rotterdam; Flavius Frasincar, Erasmus University Rotterdam.
    Using Semantic Relations to Find Implicit Features in Consumer Reviews

S20: Web Mining

Time: 13:30-15:00 on November 3rd

Room: Monte Carlo

Chair: Hye-young Paik

  • (Regular)3, Daniel Kailer*, Munich University of Applied S; Peter Mandl, ; Alexander Schill, .
    Grouping Product Aspects from Short Texts Using Multiple Classifiers
  • (Regular)34, Israt Chowdhury*, QUT; Richi Nayak, QUT.
    FreeS: A Fast Algorithm to Discover Frequent Free Subtrees Using a Novel Canonical Form
  • (Short)48, Ibéria Medeiros*, FCUL, UL - Lasige; MIguel Beatriz, INESC-ID, Instituto Superior Técnico, Universidade de Lisboa; Nuno Neves, LaSIGE, Faculdade de Ciências, Universidade de Lisboa; MIguel Correia, INESC-ID, Instituto Superior Técnico, Universidade de Lisboa.
    Hacking the DBMS to Prevent Injection Attacks
  • (Short)70, Thin Nguyen*, Deakin University; Bridianne O'Dea, ; mark Larsen, ; Dinh Phung, ; svetha Venkatesh, ; Helen Christensen, .
    Differentiating sub-groups of online depression-related communities using textual cues

S21: Web-based Applications

Time: 15:30-17:00 on November 3rd

Room: Monte Carlo

Chair: Mourad Ouziri

  • (Regular)79, Xiang Fu*, Hofstra University; Tyler Befferman, Hofstra University; M.D. Burghardt, Hofstra University; Jennie Chiu, University of Virginia.
    WISEngineering: Achieving Scalability and Extensibility in Massive Online Learning
  • (Regular)77, Andre Peres*, IFRS - Porto Alegre; Evandro Miletto, IFRS - Porto Alegre; Fabiana LORENZI, ULBRA; Elidiane Zayaeskoski, IFRS - Porto Alegre; Ramon Silva, IFRS - Porto Alegre; Gianfranco Meneguz, IFRS - Porto Alegre.
    Using Web Collaboration to Create New Physical Learning Objects
  • (Short)80, Pedro Henrique Assis*, PUC-Rio; Marco Antônio Casanova, PUC-Rio; Alberto Henrique Laender, Federal University of Minas Gerais.
    Improving Relation Extraction by Using an Ontology Class Hierarchy Feature
  • (Short)110, Guangqiang Zhao*, Florida International Univ.; Mingjin Zhang, ; Tao Li, ; Naphtali Rishe, .
    City Recorder: Virtual City Tour Using Geo-Referenced Videos