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Department of Computer Science Seminar
2016 Series

Efficient Processing of Subscription Queries over Geo-Textual Data Streams

Mr. Lisi Chen
PhD Candidate
School of Computer Engineering
Nanyang Technological University

Date: February 5, 2016 (Friday)
Time: 1:30 - 2:30 pm
Venue: FSC1217, Fong Shu Chuen Library, Ho Sin Hang Campus

In step with the rapid development of location-based services (LBS), massive amount of data that contains both text information and geographical information are being generated at an unprecedented scale (e.g., geo-tagged tweets from Twitter, check-in data from Foursquare). This development enables location-aware publish/subscribe that disseminates geo-textual messages to a vast number of subscription users. In addition, it implies an increasing demand for the functionality of subscription queries that supports text-based intent, location-based intent, and time-based intent. A subscription query in location-based publish/subscribe systems takes user-supplied location and keywords data as arguments and continuously receives geo-textual messages that are spatially, textually, and temporally relevant to these arguments. The talk covers the ideas and concepts underlying different types of subscription query functionality; it outlines challenges and solutions for processing a large number of subscription queries over geo-textual data streams; and it presents new challenges yet to be addressed.

Lisi Chen is a PhD student in Computer Science at Nanyang Technological University, Singapore. He received his Bachelor degree in Computer Science from the Honor School, Harbin Institute of Technology, China. His research interests include data management, data mining, and geographical information systems, and his current focus is on spatial-keyword query processing and publish/subscribe over textual data streams. His work was published in premier database conferences, such as ACM SIGMOD, VLDB, and ICDE. His publications during his PhD study have received more than 200 citations according to Google Scholar.

********* ALL INTERESTED ARE WELCOME ***********
(For enquiry, please contact Computer Science Department at 3411 2385)
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