数据科学与工程系列学术报告

报告人:Prof. Dr. Timos Sellis

时间:2017年5月15日13:00-14:00

地点:中山北路3663号数学馆西113室

主办单位:数据科学与工程学院

摘要:

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)

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