@inproceedings{posa-etal-2016SEMANTiCS,
  author    = {M{\'{o}}nica Posada{-}S{\'{a}}nchez and
               Stefan Bischof and
               Axel Polleres},
  abstract  = {Access to high quality and updated data is crucial to assess and contextualize city state of a 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.},
  title     = {Extracting Geo-Semantics About Cities From OpenStreetMap},
  booktitle = {Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems (SEMANTiCS2016)},
  address   = {Leipzig, Germany},
  month     = sep,
  day       = {12--15},
  year      = 2016,
  url       = {http://ceur-ws.org/Vol-1695/paper39.pdf},
}

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