Title:Searching and Querying in Large Networks
Big data has become a buzzword. The challenge is how to improve the existing data processing techniques to capture, manage and analyze the data with high volume, variety, velocity and veracity. In this talk, I will introduce several ARC (Australian Research Council) discovery projects we have been conducting in the Web and Data Engineering group at Swinburne University of Technology in Australia. In particular, I will introduce our recent work on keyword search over structured data, community detection over large networks, and advanced query processing and refinement.
Title:Keyword based search over structured data
Keyword search is integrated in many applications on account of the convenience to convey users' query intention. Recently, answering keyword queries on structured data has drawn great deal of attention from the web and database communities, because the success of this research will relieve users from learning complex query languages, and/or knowing the underlying schema of the structured data. As a result, information in the data can be discovered much easier. In this talk, I will present the work done at Swinburne on keyword and keyword based search over both tree and graph structured data.
Chengfei Liu is a Professor in the Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, Australia. He is the leader of Web and Data Engineering research group and the focus area leader of Knowledge and Data Intensive Systems in the Swinburne University tier-1 Centre for Computing and Engineering Software Systems (SUCCESS). Prior to joining Swinburne, he taught at the University of South Australia and the University of Technology Sydney, and was a Research Scientist at Cooperative Research Centre for Distributed Systems Technology (DSTC) located in the University of Queensland, Australia. He also held visiting positions at the Chinese University of Hong Kong, the University of Aizu in Japan, and IBM Silicon Valley Lab in USA. His current research interests include keyword search over structured data, query processing and refinement, XML and RDF databases, graph data management, community discovery, big data management, and workflow management. He has published over 200 peer-reviewed papers in various journals and conference proceedings and has served in over 100 organization committees and program committees in international conferences/workshops. He was the recipient of the 2007 Vice-Chancellor's Award for Research Excellence at Swinburne.