Paper Info
Title
Gazetiki: automatic creation of a geographical gazetteer
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.
Year
DOI
Venue
2008
10.1145/1378889.1378906
JCDL
Keywords
Field
DocType
application domain,geographical gazetteer,improved coverage,geolocalized databases,geographic database,geographical name,automatic creation,geonames database,geographical information,new automated technique,disparate information,domain model,data mining,wikipedia,web search engine,information extraction
Drawback,Automated technique,World Wide Web,Search engine,Information retrieval,Computer science,Geographic coordinate system,Geographic database,Information extraction,Domain model
Conference
Citations 
PageRank 
References 
36
2.12
9
Authors
3
Name
Order
Citations
PageRank
Adrian Popescu126320.15
Gregory Grefenstette21129147.00
Pierre Alain Moëllic3616.24