Extracting Geo-Semantics About Cities From OpenStreetMap
نویسندگان
چکیده
Access to high quality and updated data is crucial to assess and contextualize city state of affairs. The City Data Pipeline uses diverse Open Data sources to integrate statistical information about cities. The resulting incomplete dataset is not directly usable for data analysis. We exploit data from a geographic information system, namely OpenStreetMap, to obtain new indicators for cities with better coverage. We show that OpenStreetMap is a promising data source for statistical data about cities.
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