Final Program

Organisers:
Jian Yu, Swinburne University of Technology, Australia
Hong-Linh Truong, Vienna University of Technology, Austria

Organisers:
Liam O’Brien, CSIRO, Australia
Athman Bouguettaya, RMIT University, Australia

Pavlos Fafalios and Yannis Tzitzikas. Exploiting Available Memory and Disk for Scalable Instant Overview Search

Narges Roshanbin and James Miller. Finding Homoglyphs — A Step Towards Detecting Unicode-based Visual Spoofing Attacks

Zeinab Hmedeh, Nelly Vouzoukidou, Nicolas Travers, Vassilis Christophides, Cedric Du Mouza and Michel Scholl. Characterizing Web Syndication Behavior and Content

Achille Fokoue, Mudhakar Srivatsa and Robert Young. Trust-based Probabilistic Query Answering

Lei Zou, Peng Peng and Dongyan Zhao. Top-K Possible Shortest Path Query Over a Large Uncertain Graph

David Urbansky, Daniel Schuster, A. Schill and James Thom. Training a Named Entity Recognizer on the Web

Jeroen De Knijff, Kevin Meijer, Flavius Frasincar and Frederik Hogenboom. Word Sense Disambiguation for Automatic Taxonomy Construction from Text-Based Web Corpora

Jia Zhu, Xiaofang Zhou and Gabriel Fung. Enhance Web Pages Genre Identification using Neighboring Pages

José Matías Rivero, Gustavo Rossi, Julián Grigera, Esteban Robles Luna and Antonio Navarro. From Interface Mockups to Web Application Models

Fanghuai Hu, Tong Ruan, Zhiqing Shao and Jun Ding. Automatic Web Information Extraction Based on Rules

Daisuke Kotani, Satoshi Nakamura and Katsumi Tanaka. Supporting Sharing of Browsing Information and Search Results in Mobile Collaborative Searches

Winston Lin and Joseph Davis. OntoAssist: Leveraging Crowds for Ontology-Based Search

Dat Dac Hoang, Hye-Young Paik and Wei Dong. MashSheet: Mashups in Your Spreadsheet

Haiyang Sun, Weiliang Zhao, Jian Yang and Guizhi Shi. SOAC Engine: A System to Manage Composite Web Service Authorization

Yi Wang, Jian Yang and Weiliang Zhao. A Change Analysis Tool for Service-Based Business Processes

Armin Haller and Tudor Groza. A Novel Approach for Interacting with Linked Open Data

Mohan Baruwal Chhetri, Quoc Bao Vo, Ryszard Kowalczyk and Cam Lan Do. Cloud Broker – Helping You Buy Better

Takahiro Komamizu, Yuto Yamaguchi, Toshiyuki Amagasa and Hiroyuki Kitagawa. FACTUS: Faceted Twitter User Search using Twitter List

Alan Noble
Google Australia

Bio:
Alan Noble is an IT entrepreneur and executive with 25 years of international technology leadership and management experience, in Australia, the United States and Japan. Since Feb 2007 he has lead Google’s research and development operations in Australia, one of Google’s fastest growing engineering centres and the home of Google Maps and Google Wave. He joined Google from NetPriva, a networking software company he founded in 2005 which was acquired by Expand Networks. From 1982 to 1986 he lived in Japan where he worked for Daiichi Kaden and NEC. From 1986 until 2002 he lived in California, where he worked for Schlumberger, the world’s largest oilfield services company, for 8 years. In 1996 he founded NetMind, which developed the Internet’s first change detection service. NetMind was acquired in 2000 by Intellisync (now part of Nokia) where he remained as VP of Engineering until returning to Australia in 2002.
Alan is also a national director of the Australian Information Industry Association (AIIA), a cofounder of SA Angels and an advisor on five Australian University advisory boards (NSW, Queensland, Adelaide, ANU and CMU). He is a graduate of Adelaide University and Stanford University and an adjunct professor at Adelaide University. He has been granted seven patents and has several others pending.

Shlomo Berkovsky and Jill Freyne
CSIRO ICT Centre, Australia

Abstract:
The quantity of accessible information on the Web continues to grow rapidly and has far exceeded human processing capabilities. The sheer abundance of information often prevents users from discovering desired information or making informed and correct choices. This problem highlights the pressing need for intelligent personalized Web applications that simplify information access by taking into account users’ preferences and needs (as represented by their user models), to deliver services in a way most valuable and convenient to users. Such applications are referred to as personalized applications. The main objective of the tutorial is to provide the participants with broad overview and understanding of algorithms and practical applications for Web-based user modeling and personalization. The tutorial consists of three main components: (1) modeling users through observing their Web interactions and eliciting their preferences and needs, (2) algorithmic techniques for Web personalization, information filtering, and recommendations, and (3) user aspects in Web personalization and practical applications.

Bios:

Shlomo Berkovsky, CSIRO ICT Centre, Australia.
Dr Shlomo Berkovsky is a Senior Research Scientist and Research Team Leader at the CSIRO ICT Centre. Shlomo received his PhD (summa cum laude) from the University of Haifa, where his research focused on mediation of user models in recommender systems. After working as a post-doctoral research fellow at Melbourne University, he joined CSIRO. He is the Research Team Leader of the Personalized Information Delivery team and his broad research areas are user modeling and personalization. In particular, he is interested in recommender systems, personalized persuasion, ubiquitous user modeling, tailored content generation, and context-aware personalization. Shlomo is the author of more than 60 publications accepted to journals, books, and conference/workshop proceedings. His works won the Best Paper Award of the AH-2006 conference and iAward prize in Research and Development. He is the author of two books, editor of seven proceedings, and inventor of two patents. Shlomo has organized a series of workshops on ubiquitous user modeling, served on the organising committee of international conferences, and reviewed for numerous journals and conferences. In the past, Shlomo has taught courses on information retrieval and Web technologies, and presented tutorials on user modeling, personalization, and recommender systems at four international conferences.

Jill Freyne, CSIRO ICT Centre, Australia.
Dr Jill Freyne is a Research Scientist and Project Leader at the CSIRO Tasmanian ICT Centre. Jill received her PhD from University College Dublin, where her research focused on collaborative, community based web search. Jill continued her research into personalization and recommender technology as a Postdoctoral Fellow at the Clarity Centre for Sensor Web technologies and IBM Research in Cambridge, MA, where she worked primarily on influence in social networking. Since her commencement in the Tailored Lifestyle Information project at CSIRO, Jill’s research has focused on recommender and persuasive technologies to impact attitude and behavior in the health domain. Jill is the author of over 50 publications published in top quality journals and conferences. She holds a strong international reputation and has been invited to speak at highly regarded institutions including MIT, Carnegie Mellon and IBM Research. Jill has organized a national conference, as well as several workshops on Recommender System and Social Media, serves as a senior PC member of IJCAI and has reviewed for many journals and conferences. Jill has taught courses on information retrieval, recommender systems and social media.