Determining geographic representations for arbitrary concepts at query time
Proceedings of the first international workshop on Location and the web
Automatic acquisition of fuzzy footprints
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Delineating boundaries for imprecise regions
ESA'05 Proceedings of the 13th annual European conference on Algorithms
Privacy-preserving data-oblivious geometric algorithms for geographic data
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Determining the bounds of geographic regions is an important task for geographic search engines which use concept@location-type of queries. The location a user specifies is often not contained in the underlying gazetteer or geographic database, which might be due to vernacular descriptions of regions or because the location is not a geographic region in the narrow sense, which is the case in queries like campground near theme park. In the present paper we describe different ways for automatically determining a geographic footprint for those locations so that a geographic search engine is able to deal with all kinds of location-descriptions. The same approaches can be used to visualize the geographic correlation of arbitrary terms, like the visualization of the spread of certain colloquialisms. The basic idea is to mine locations found in the top documents resulting from a query consisting of the terms the user has chosen to specify the location. We describe how this can be done using kernel density estimation, clustering and a combination thereof.