The Role of Gazetteers in Geographic Knowledge Discovery on the Web
LA-WEB '05 Proceedings of the Third Latin American Web Congress
On building a high performance gazetteer database
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
Gazetiki: automatic creation of a geographical gazetteer
Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Automatic acquisition of vernacular places
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Extracting geographic features from the Internet to automatically build detailed regional gazetteers
International Journal of Geographical Information Science
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
An agenda for the next generation gazetteer: geographic information contribution and retrieval
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Bottom-Up Gazetteers: Learning from the Implicit Semantics of Geotags
GeoS '09 Proceedings of the 3rd International Conference on GeoSpatial Semantics
A web platform for the evaluation of vernacular place names in automatically constructed gazetteers
Proceedings of the 6th Workshop on Geographic Information Retrieval
Multi-source toponym data integration and mediation for a meta-gazetteer service
GIScience'10 Proceedings of the 6th international conference on Geographic information science
A supervised machine learning approach for duplicate detection over gazetteer records
GeoS'11 Proceedings of the 4th international conference on GeoSpatial semantics
Vague regions in Geographic Information Retrieval
SIGSPATIAL Special
Harvesting geographic features from heterogeneous raster maps
Harvesting geographic features from heterogeneous raster maps
Automatically learning gazetteers from the deep web
Proceedings of the 21st international conference companion on World Wide Web
Latent Geospatial Semantics of Social Media
ACM Transactions on Intelligent Systems and Technology (TIST)
Collaborative geospatial feature search
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Modeling locations with social media
Information Retrieval
A semantic web based gazetteer model for VGI
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
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Geographical knowledge resources or gazetteers that are enriched with local information have the potential to add geographic precision to information retrieval. We have identified sources of novel local gazetteer entries in crowd-sourced OpenStreetMap and Wikimapia geotags that include geo-coordinates. We created a fuzzy match algorithm using machine learning (SVM) that checks both for approximate spelling and approximate geocoding in order to find duplicates between the crowd-sourced tags and the gazetteer in effort to absorb those tags that are novel. For each crowd-sourced tag, our algorithm generates candidate matches from the gazetteer and then ranks those candidates based on word form or geographical relations between each tag and gazetteer candidate. We compared a baseline of edit distance for candidate ranking to an SVM-trained candidate ranking model on a city level location tag match task. Experiment results show that the SVM greatly outperforms the baseline.