SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Use of the SAND spatial browser for digital government applications
Communications of the ACM
Speeding up construction of PMR quadtree-based spatial indexes
The VLDB Journal — The International Journal on Very Large Data Bases
Web-a-where: geotagging web content
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A Distributed Quadtree Index for Peer-to-Peer Settings
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Efficient query processing on spatial networks
Proceedings of the 13th annual ACM international workshop on Geographic information systems
A fast all nearest neighbor algorithm for applications involving large point-clouds
Computers and Graphics
Maintenance of spatial semijoin queries on moving points
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
K-Nearest Neighbor Finding Using MaxNearestDist
IEEE Transactions on Pattern Analysis and Machine Intelligence
STEWARD: architecture of a spatio-textual search engine
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Spatio-textual spreadsheets: geotagging via spatial coherence
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Geotagging: using proximity, sibling, and prominence clues to understand comma groups
Proceedings of the 6th Workshop on Geographic Information Retrieval
Determining the spatial reader scopes of news sources using local lexicons
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Multifaceted toponym recognition for streaming news
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Unsupervised named-entity recognition: generating gazetteers and resolving ambiguity
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
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Determining geographic interpretations for place names, or toponyms, involves resolving multiple types of ambiguity. Place names commonly occur within lists and data tables, whose authors frequently omit qualifications (such as city or state containers) for place names because they expect the meaning of individual place names to be obvious from context. GeoWhiz is a system that demonstrates a novel technique for place name disambiguation (also known as toponym resolution). The system uses Bayesian inference to assign categories to user-specified lists of place names, then interprets individual toponyms based on the most likely category assignments. The categories are defined along three orthogonal dimensions: place types (e.g., cities, capitals, rivers, etc.), geographic containers, and prominence (e.g., based on population). A map interface enables users to explore possible interpretations and compare the interpretations that are most likely based on selected categories.