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APWeb 2014 The 16th Asia-Pacific Web Conference (APWeb) 5-7 Sept 2014, Changsha, China 1 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 2 Conference Program 16.11.2006 KEG seminar 3 Conference Program 16.11.2006 KEG seminar 4 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. 16.11.2006 KEG seminar 5 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 16.11.2006 KEG seminar 6 DSL 3 Dr. Nan Tang (Qatar Computing Research Institute, Doha, Qatar) Big Data Cleaning Different aspects of data cleaning Error detection Data repairing 16.11.2006 KEG seminar 7 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 16.11.2006 KEG seminar 8 Tutorial Xin Luna Dong (Google) From Data Fusion to Knowledge Fusion The Sonya project 1. Knowledge Extraction use 15 extractors to periodically extract knowledge from 1B+ Webpages. only about 30% of the extracted triples are correct. 16.11.2006 KEG seminar 9 Tutorial 2. 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 16.11.2006 KEG seminar 10 Keynote talk 1 Prof. Fang Binxin, Beijing University of Posts and Telecommunications New Progress in Online Social Network Analysis 结构 1. 动态社区发现 2. 网络平均路径长度的估计 群体 1. 情感突发的在线突发事件检测模型 2. 话题层次 传播 1. 个体传播能力分析 16.11.2006 KEG seminar 11 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) 16.11.2006 KEG seminar 12 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) 16.11.2006 KEG seminar 13 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 16.11.2006 KEG seminar 14 Best Paper Group-based Personalized Location Recommendation on Social Networks (Wang Henan*, Tsinghua; Li Guoliang, Tsinghua; Feng Jianhua, Tsinghua) Location-based social networks 16.11.2006 KEG seminar 15 Abstract submission: Research paper submission: March 31, 2015 Notification to authors: May 31, 2015 http://www.dmirlab.com/apweb2015/ 16.11.2006 March 24, 2015 KEG seminar 16