ACM SIGMOD City, Country, Year
sigmod pods logo




Querying Geo-Textual Data: Spatial Keyword Queries and Beyond [Tutorial 7]

FRIDAY, July 1, 2016 (10:30am - 12:00pm)

Abstract: Over the past decade, we have moved from a predominantly desktop based web to a predominantly mobile web, where users most often access the web from mobile devices such as smartphones. In addition, we are witnessing a proliferation of geo-located, textual web content. Motivated in part by these developments, the research community has been hard at work enabling the efficient computation of a variety of query functionality on geo-textual data, yielding a sizable body of literature on the querying of geo-textual data.

With a focus on different types of keyword-based queries on geo-textual data, the tutorial also explores topics such as continuous queries on streaming geo-textual data, queries that retrieve attractive regions of geo-textual objects, and queries that extract properties, e.g., topics and top-k frequent words, of the objects in regions. The tutorial is designed to offer an overview of the problems addressed in this body of literature and offers an overview of pertinent concepts and techniques. In addition, the tutorial suggests open problems and new research direction.

URL for the Slides:
http://www.ntu.edu.sg/home/gaocong/SIGMOD16tutorial.html

Presenters:

Gao Cong is an Associate Professor at Nanyang Technological University (NTU). Before joining NTU, he was an Assistant professor at Aalborg University, a researcher at Microsoft Research Asia, and a Postdoc at University of Edinburgh. He received his Ph.D. in Computer Science from National University of Singapore in 2004. His research interests include geospatial and textual data management, data mining, context aware recommendation, and mining social networks and social media. His work is published in SIGMOD, VLDB, KDD, WWW, SIGIR, etc. He served as a PC co-chair for E&A track of VLDB'14. He is an Associate Editor for ACM Transactions on Database Systems.

Christian S. Jensen is an Obel Professor of Computer Science at Aalborg University, Denmark. He was a Professor at Aarhus University for a 3-year period from 2010 to 2013, and he was previously at Aalborg University for two decades. He recently spent a 1-year sabbatical at Google Inc., Mountain View. His research concerns data management and data-intensive systems, and its focus is on temporal and spatio-temporal data management. Christian is an ACM and an IEEE Fellow. He has received several national and international awards for his research. He is Editor-in-Chief of ACM TODS and was an Editor-in-Chief of The VLDB Journal from 2008 to 2014.

Credits
Follow our progress: FacebookTwitter