报告题目：Towards Interactive, Trustworthy and Social-Aware Queries on Big Spatial Data
报 告 人：Jianliang Xu, Professor , Hong Kong Baptist University, Hong Kong
报告时间：2016年12月9日上午9:30-10:30
报告地点：生命B 502
邀 请 人：杨晓春教授
报告摘要：The ubiquity of location-based services (LBS) makes spatial data readily available for search, analysis and retrieval. However, the overwhelming data volume and variety pose new research challenges as well as new opportunities for query processing on big spatial data. For example, the fusion of LBS and social networks has enabled a new class of geo-social group queries that integrate social factors into spatial queries. In addition, to enhance system usability and user experience, it is important to provide interactive and verifiable responses to queries. In this talk, we will present several of our recent efforts on interactive why-not queries, verifiable queries, and geo-social queries that are aimed to improve the functionality, usability, and performance of spatial query services on big data. We will also discuss some possible future research directions.
报告人简介：Jianliang Xu is a Professor in the Department of Computer Science, Hong Kong Baptist University (HKBU). He received his BEng degree from Zhejiang University and his PhD degree from Hong Kong University of Science and Technology. He held visiting positions at Pennsylvania State University and Fudan University. His current research interests include mobile/spatial data management, data security and privacy, and database systems. He has published more than 150 technical papers in these areas, most of which appeared in leading journals and conferences including SIGMOD, PVLDB, ICDE, TODS, TKDE and VLDBJ, with an h-index of 39 (Google Scholar). He has served as a program co-chair/vice chair for a number of major international conferences including IEEE ICDCS 2012, IEEE CPSNA 2015 and WAIM 2016. He is an Associate Editor of IEEE Transactions on Knowledge and Data Engineering (TKDE 2014-2018) and Proceedings of the VLDB Endowment (PVLDB 2018).
