Selected article for: "institution country city and reverse geocoding"

Author: Dima Kagan; Jacob Moran-Gilad; Michael Fire
Title: Scientometric Trends for Coronaviruses and Other Emerging Viral Infections
  • Document date: 2020_3_20
  • ID: kh9whqzd_46
    Snippet: 4. To acquire country data for an institution that had only city data on WikiData, we used city-to-country mapping lists. 5 The fields used were "coordinate location (P625)," "country (P17)," "located at street address (P6375)," "located in the administrative territorial entity (P131)," "headquarters location (P159)," and "location (P276)." 5. To get city and country data for institutions that did not have the relevant fields on WikiData, we extr.....
    Document: 4. To acquire country data for an institution that had only city data on WikiData, we used city-to-country mapping lists. 5 The fields used were "coordinate location (P625)," "country (P17)," "located at street address (P6375)," "located in the administrative territorial entity (P131)," "headquarters location (P159)," and "location (P276)." 5. To get city and country data for institutions that did not have the relevant fields on WikiData, we extracted geographic coordinates from Wikipedia.com. Even though WikiData and Wikipedia.com are both parts of the Wikimedia Foundation, they are independent projects which have different data. Similar to WikiData coordinates, we used reverse geocoding to determine the city and country of the institution.

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