Paper Info
Title
Evaluating uncertain location-based spatial queries
Abstract
Location-Based Spatial Queries (LBSQ) are becoming more and more useful in location-based services such as those provided by cell-phones, Wireless LAN and GPS technologies. They support the access to information resources by taking into account the spatial context of the user when submitting the query, and the spatial location of the searched resources (instances). In fact, in a LBSQ the key-selection condition is generally a constraint on the distance of the resources in the database (instances) from the user location. One deficiency of current approaches is the fact that they do not manage the uncertainty that often characterizes the knowledge of either the user location or the searched instances. A model for representing and evaluating uncertain Location-Based Spatial Queries is proposed in which besides location uncertainty also the spatial condition can be imprecise. A two-step evaluation procedure of LBSQs is outlined based on a filter and on a refinement phase.
Year
DOI
Venue
2008
10.1145/1363686.1363942
SAC
Keywords
Field
DocType
key-selection condition,gps technology,location uncertainty,wireless lan,spatial context,uncertain location-based spatial queries,user location,uncertain location-based spatial query,location-based spatial queries,spatial condition,spatial location,minkowski sum,location based service
Data mining,Information retrieval,Computer science,Spatial query,Global Positioning System,Wireless lan,Spatial contextual awareness,Access to information,Spatial database,Minkowski addition
Conference
Citations 
PageRank 
References 
5
0.42
14
Authors
4
Name
Order
Citations
PageRank
Gloria Bordogna1974103.99
Marco Pagani2101.24
Gabriella Pasi31673169.31
Giuseppe Psaila4722192.45