报告人：Prof. Dr. Timos Sellis
As a result of the increasing popularity of GPS enabled mobile devices, the volume of content associated with both a geographic location and a text description is growing rapidly on the web. The availability of this data enables us to answer many real-life spatial-textual queries for different applications. This research addresses the increasing demand of answering real-life queries that are useful, especially in business and marketing applications. In addition, the need to improve the performance while processing a large number of queries together arising in many problems. Specifically, the following questions are addressed in this research:
1) How can multiple Top-k Spatial-Textual queries be efficiently batch processed?
2) How can Maximizing the Bichromatic Reverse Spatial-textual k Nearest Neighbor queries be answered efficiently?
3) How can the top-m objects with the highest aggregate spatial rank be continuously monitored for streaming queries?
(Joint work with Farhana M. Choudhury, J. Shane Culpepper and Zhifeng Bao)