2007年清华大学信息技术研究院系列学术报告12

Yanchun Zhang is a full Professor of Computer Science in the School of Computer Science and Mathematics, and Director of Internet Technologies and Applications Research Lab (ITArl) and e-Research group at Victoria University, Australia. He is a member of Australian Research Council (ARC) College of Experts.

Prof. Zhang obtained a PhD degree in Computer Science from The University of Queensland in 1991. Prof. Zhang' research interests include databases, cooperative transactions management, web information systems, web mining, web services and e-research. He has published over 130 research papers in international journals and conference proceedings including top journals such as ACM Transactions on Computer and Human Interaction (TOCHI), IEEE Transactions on Knowledge and Data Engineering (TKDE), and a dozen of books and journal special issues in the related areas. He is a founding editor and editor-in-chief of World Wide Web published by Springer, and the founding editor of Web Information Systems Engineering and Internet Technologies Book Series from Springer. He is Chairman of International Web information Systems Engineering Society (WISE). He received 2005 Victoria University Vice- Chancellor's Medal for Excellence in Research.  He is an external Expert Panel member for Cheung Kong Scholars Program from the Ministry of Education of China. He has recently been appointed as a member of Australian Research Council (ARC) College of Experts approved by the Minister of Education, Science and Training (DEST).

Abstract:

Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management and searching techniques. To address this issue, we adopted a web mining and web community analysis based approach, where web community is defined as a set of closely related Web-based documents/objects. Based on the analysis of Web document contents, hyperlinks and/or user access logs, we have developed various approaches or algorithms to construct and analyze Web communities, and then to make recommendations / personalization. The first part of this talk will discuss web community analysis and construction. The second part of the talk will introduce some e-research projects related to e-health, e-Water and e-Law/legal information management, and discuss the experience on these cross domain research collaborations.