Estimating probability surfaces for geographical point data: an adaptive kernel algorithm
Computers & Geosciences
Neighborhood restrictions in geographic IR
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Geo-tagging for imprecise regions of different sizes
Proceedings of the 4th ACM workshop on Geographical information retrieval
Automatic acquisition of fuzzy footprints
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Automatic acquisition of vernacular places
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Mining a Multilingual Geographical Gazetteer from the Web
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Multi-cultural Aspects of Spatial Knowledge
GeoS '09 Proceedings of the 3rd International Conference on GeoSpatial Semantics
Spatiotemporal mapping of Wikipedia concepts
Proceedings of the 10th annual joint conference on Digital libraries
COSIT'11 Proceedings of the 10th international conference on Spatial information theory
Extracting urban patterns from location-based social networks
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Web Semantics: Science, Services and Agents on the World Wide Web
Hi-index | 0.00 |
Vernacular place names are names that are commonly in use to refer to geographical places. For purposes of effective information retrieval, the spatial extent associated with these names should be able to reflect people's perception of the place, even though this may differ sometimes from the administrative definition of the same place name. Due to their informal nature, vernacular place names are hard to capture, but methods to acquire and define vernacular place names are of great benefit to search engines and all kind of information services that deal with geographic data. This paper discusses the acquisition of vernacular use of place names from web sources and their representation as surface models derived by kernel density estimators.