A Survey on Spatial Keyword Query

PhD Qualifying Examination


Title: "A Survey on Spatial Keyword Query"

by

Mr. Kai Ho CHAN


Abstract:

With the proliferation of spatial-textual data such as location-based services 
and geo-tagged websites, spatial keyword queries are ubiquitous in real life. 
At the same time, the web is increasingly being accessed by mobile users, which 
allows the users' geo-positioning. As a result, the spatial keyword queries 
received a lot of attention and become more and more popular. It is also being 
supported in many real-life applications. A number of studies had already been 
proposed in the literature and proposed different variations of spatial keyword 
queries. Some examples are Boolean kNN Query and Top-k kNN Query. A traditional 
spatial keyword query takes a location and a set of keywords as arguments and 
returns relevant objects that matches the arguments.

Recently, considerable research has been conducted on the object set-oriented 
spatial keyword queries in the community of spatial databases. Some examples 
are Collective Spatial Keyword Query, mCK Query and Group-based Collective 
Keyword Query. These queries aim to find a set of multiple objects that 
collectively satisfy the query. In this survey, we first review different 
variants of traditional spatial keyword queries. We then study Collective 
Spatial Keyword Query. Besides, some different object set-oriented spatial 
keyword queries are introduced. Finally, we conclude this survey by giving some 
future research directions related to object set-oriented keyword queries.


Date:			Friday, 4 August 2017

Time:                  	3:00pm - 5:00pm

Venue:                  Room 2611
                         Lifts 31/32

Committee Members:	Dr. Raymond Wong (Supervisor)
 			Prof. Dit-Yan Yeung (Chairperson)
 			Prof. Gary Chan
 			Dr. Xiaojuan Ma


**** ALL are Welcome ****