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DARIAH Geo-browser: Exploring Data through
            Time and Space


       Matteo Romanello @mr56k (DAI / KCL)




   Wikidata trifft Arch¨ologie, Berlin March 16, 2013
                      a
One Tree Tool, many Branches



      Europeana e4d
      DARIAH Geo-browser
      GeoTemCo
          Stefan J¨nicke
                  a
          github
      MPIWG GeoTemCo
          Sebastian Kruse
          github
A Tool for Exploratory Research


      suitable research context
           exploration of datasets
           visualization / distant reading let emerge patterns within data
      suitable if
           data are in KML format
           data have both time and space information attached to them
      KML allows for export of data from various sources into
      geo-browser
           preparation of data is part of research process
           needs to be informed by research questions
Limes :: Places (Gazetteer)
Limes :: Publications (Zenon)
Limes :: Research Questions




      which publications are related to a given place?
      what are the most/least studied places?
      how studies about the Limes developed over time?
      ...
Mashable Data
      logic:
           get Limes places from Gazetteer (filter by tag)
           for each place fetch related publications from Zenon
           keep only places having 1 (or more) publications
           display publications on map:
                space: Limes place they related to
                time: publication date

      interoperable infrastructure
           RESTful APIs / JSON
           shared identifiers for
                place names
                subject headings


      https://gist.github.com/mromanello/5168303 (script.py)
      https://gist.github.com/mromanello/5168335 (output.kml)
Limes :: Gazetteer & Zenon mashup




   permalink
1980s: 12 publications
1990s: 158 publications
Conclusions

      exploratory research
          visualization not useful in itself. . .
          . . . only if it helps us to answer/formulate new research
          questions
               serendipity through data visualization

      mashable data
          variety of formats for import/export
          importance of access to data via APIs
          use of common/shared identifiers to link resources
      share
          tools
          data
          process (scripts)

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DARIAH Geo-browser: Exploring Data through Time and Space

  • 1. DARIAH Geo-browser: Exploring Data through Time and Space Matteo Romanello @mr56k (DAI / KCL) Wikidata trifft Arch¨ologie, Berlin March 16, 2013 a
  • 2. One Tree Tool, many Branches Europeana e4d DARIAH Geo-browser GeoTemCo Stefan J¨nicke a github MPIWG GeoTemCo Sebastian Kruse github
  • 3. A Tool for Exploratory Research suitable research context exploration of datasets visualization / distant reading let emerge patterns within data suitable if data are in KML format data have both time and space information attached to them KML allows for export of data from various sources into geo-browser preparation of data is part of research process needs to be informed by research questions
  • 4. Limes :: Places (Gazetteer)
  • 6. Limes :: Research Questions which publications are related to a given place? what are the most/least studied places? how studies about the Limes developed over time? ...
  • 7. Mashable Data logic: get Limes places from Gazetteer (filter by tag) for each place fetch related publications from Zenon keep only places having 1 (or more) publications display publications on map: space: Limes place they related to time: publication date interoperable infrastructure RESTful APIs / JSON shared identifiers for place names subject headings https://gist.github.com/mromanello/5168303 (script.py) https://gist.github.com/mromanello/5168335 (output.kml)
  • 8. Limes :: Gazetteer & Zenon mashup permalink
  • 9.
  • 10.
  • 13. Conclusions exploratory research visualization not useful in itself. . . . . . only if it helps us to answer/formulate new research questions serendipity through data visualization mashable data variety of formats for import/export importance of access to data via APIs use of common/shared identifiers to link resources share tools data process (scripts)