Geographic information, especially represented by Points of Interest (is critical for identifying locations and provides the basis for various location-based services. Currently, geospatial data of POI are available through some open map services (e.g., Google Maps, OpenStreetMap, etc.).The final results indicate that the proposed approach could effectively produce the place-name datasets on a par with Google Maps and outperform OpenStreetMap and Wikimapia. We propose an automatic approach of extracting geographic information for building up POI resources based on the results obtained by the web search engines to mitigate the negative effect from the traditional means. According to the approach, we firstly put the types of POIs extracted from Google Maps and the street names obtained from OpenStreetMap into the Google search engine, and then retrieve the potential addresses of POIs through parsing the search results. Secondly, the Google search engine is employed again with the retrieved addresses of POIs to extract the potential place names.
Volume 11 | 09-Special Issue
Pages: 299-304
DOI: 10.5373/JARDCS/V11/20192571