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APWeb 2014. The 16th Asia-Pacific Web Conference (APWeb) 5-7 Sept 2014, Changsha, China. Statistics. Participants: 200 Research Paper 134 submissions (217, 54, 25%) 34 accepted ( full research papers ) 23 accepted ( short …) Area Distributions Social Network (31%) Graphs (27%)
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APWeb 2014 The 16th Asia-Pacific Web Conference (APWeb) 5-7 Sept 2014, Changsha, China
Statistics • Participants: 200 • Research Paper • 134 submissions (217, 54, 25%) • 34 accepted ( full research papers ) • 23 accepted ( short …) • Area Distributions • Social Network (31%) Graphs (27%) • Data Mining (17%) Cloud (10%) • Text, web data (7%) Other (8%) KEG seminar
Conference Program KEG seminar
Conference Program KEG seminar
DSL (Distinguished Lecture Series) 1 • Steven Euijiong Whang (Google) • Data Analytics: Integration, Privacy, and Knowledge • Entity Resolution (ER) • Match; Merge; Chain • Data privacy ( information leakage ) • Knowledge • A new ontology (called Biperpedia) being developed at Google Research that is specialized for search applications. KEG seminar
DSL 2 • Fabian M. Suchanek (Telecom ParisTech University) • A Hitchhiker's guide to Ontology • Ontology; YAGO • YAGO 2 + time and space information • Alignment of knowledge bases • Rule mining (semantic correlations) • Provenance of ontological data KEG seminar
DSL 3 • Dr. Nan Tang (Qatar Computing Research Institute, Doha, Qatar) • Big Data Cleaning • Different aspects of data cleaning • Error detection • Data repairing KEG seminar
DSL 4 • Dr. Xiaokui Xiao (Nanyang Technological University, Singapore) • Private Data Release via Wavelets and Bayesian Networks • The privacy of the individual data • Privelet, utilizes wavelet transforms (any range-count query) • PrivBayes, employs Bayesian networks KEG seminar
Tutorial • Xin Luna Dong (Google) • From Data Fusion to Knowledge Fusion • The Sonya project • Knowledge Extraction • use 15 extractors to periodically extract knowledge from 1B+ Webpages. • only about 30% of the extracted triples are correct. KEG seminar
Tutorial • Adapt data fusion techniques to solve the knowledge fusion • leveraging the collective wisdom from different extractors and from different Web sources • compute well-calibrated probabilities for the truthfulness of each triple KEG seminar
Keynote talk 1 • Prof. Fang Binxin, Beijing University of Posts and Telecommunications • New Progress in Online Social Network Analysis • 结构 • 动态社区发现 • 网络平均路径长度的估计 • 群体 • 情感突发的在线突发事件检测模型 • 话题层次 • 传播 • 个体传播能力分析 KEG seminar
Keynote talk 2 • Prof. Christian S. Jensen , Aalborg University • Keyword-Based Spatial Web Querying • Mobile Internet ; Spatial web query • takes a user location and user-supplied keywords as arguments, and it returns web objects that are spatially and textually relevant to these arguments. • Prestige-Based Ranking • Graph; V: Spatial web objects; E: connect object that meet constraints (distance; similarity) KEG seminar
Keynote talk 3 • Dr. Divesh Srivastava, AT&T Labs-Research • Controversy Detection in Wikipedia • Wikipedia; Wisdom of the crowds; Controversy • How to understand the quality of the data? • Fine-grained controversy (when submitted) • Track same topic (surrounding text) • Distinguish other editor (support and duration) • Variability of text content ( sequence of wiki links) KEG seminar
Keynote talk 4 • Prof. Neoklis Polyzotis, University of California Santa Cruz • Scaling Machine Learning to Big Data. • Machine Learning • More Data • More Powerful Models • The Machine Learning Workflow • Step I: Example Formation; Step II: Modeling; Step III: Evaluation • MapReduceMapReduce+LoopsSpecialized Tools KEG seminar
Best Paper • Group-based Personalized Location Recommendation on Social Networks (Wang Henan*, Tsinghua; Li Guoliang, Tsinghua; Feng Jianhua, Tsinghua) • Location-based social networks KEG seminar
Abstract submission: March 24, 2015 • Research paper submission: March 31, 2015 • Notification to authors: May 31, 2015 • http://www.dmirlab.com/apweb2015/ KEG seminar