Gazetiki: automatic creation of a geographical gazetteer Export

@inproceedings{citeulike:2900517, abstract = {Geolocalized databases are becoming necessary in a wide variety of application domains. Thus far, the creation of such databases has been a costly, manual process. This drawback has stimulated interest in automating their construction, for example, by mining geographical information from the Web. Here we present and evaluate a new automated technique for creating and enriching a geographical gazetteer, called Gazetiki. Our technique merges disparate information from Wikipedia, Panoramio, and web search engines in order to identify geographical names, categorize these names, find their geographical coordinates and rank them. The information produced in Gazetiki enhances and complements the Geonames database, using a similar domain model. We show that our method provides a richer structure and an improved coverage compared to another known attempt at automatically building a geographic database and, where possible, we compare our Gazetiki to Geonames.}, address = {New York, NY, USA}, author = {Popescu, Adrian and Grefenstette, Gregory and Mo\"{e}llic, Pierre A.}, booktitle = {JCDL '08: Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries}, citeulike-article-id = {2900517}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1378889.1378906}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1378889.1378906}, doi = {10.1145/1378889.1378906}, isbn = {9781595939982}, keywords = {automatic-gazetteer-construction, gazetteers, geographic-information\_retrieval, wikipedia--nlp\_resource}, pages = {85--93}, posted-at = {2008-06-17 03:32:50}, priority = {3}, publisher = {ACM}, title = {Gazetiki: automatic creation of a geographical gazetteer}, url = {http://dx.doi.org/10.1145/1378889.1378906}, year = {2008} }

TY - CONF ID - citeulike:2900517 L3 - citeulike-article-id:2900517 N2 - Geolocalized databases are becoming necessary in a wide variety of application domains. Thus far, the creation of such databases has been a costly, manual process. This drawback has stimulated interest in automating their construction, for example, by mining geographical information from the Web. Here we present and evaluate a new automated technique for creating and enriching a geographical gazetteer, called Gazetiki. Our technique merges disparate information from Wikipedia, Panoramio, and web search engines in order to identify geographical names, categorize these names, find their geographical coordinates and rank them. The information produced in Gazetiki enhances and complements the Geonames database, using a similar domain model. We show that our method provides a richer structure and an improved coverage compared to another known attempt at automatically building a geographic database and, where possible, we compare our Gazetiki to Geonames. SN - 9781595939982 AD - New York, NY, USA EP - 93 TI - Gazetiki: automatic creation of a geographical gazetteer PB - ACM T2 - JCDL '08: Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries SP - 85 KW - automatic-gazetteer-construction KW - gazetteers KW - geographic-information_retrieval KW - wikipedia--nlp_resource AU - Popescu, Adrian AU - Grefenstette, Gregory AU - Moëllic, Pierre PY - 2008/// UR - http://dx.doi.org/10.1145/1378889.1378906 ER -