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UID:pretalx-foss4g-2022-MFAVFU@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T151500
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DESCRIPTION:In the last years the attention for gender equality in all cont
 ext has increased all over the world.\nNowadays the sensibility of Public 
 Administrations towards the naming of streets\, roads\, squares and monume
 nts after women has highlighted that\, instead\, the toponymy has always b
 een oriented to the choice of male figures.\nIn this work we present a Pyt
 hon script for QGIS\, that allows to verify if a proper name\, contained i
 n a street directory\, is of male or female gender.\nThere are other Open 
 Source projects that\, starting from an address\, verify the gender of the
  represented person\; the most famous is the GeoChicas Project [1]\; in It
 aly it is worth mentioning the "Toponomastica Femminile" Association [2] t
 hat manually verifies the streets dedicated to women\, according to a pred
 efined taxonomy (religious women\, artists\, etc.).\nThe goal of the prese
 nt work is to automate the gender reconnaissance starting from a list of n
 ames\; however\, unlike GeoChicas that use as a base parameter a dictionar
 y of names with which to compare the list\, we propose to make a query of 
 DBpedia via SPARQL in order to identify the subject and derive its gender.
  \nIf the address is the attribute of a spatial dataset\, then it is possi
 ble to add a new attribute (the gender) to the vector layer table as a res
 ult of DBpedia query.\nThis approach overcomes language limitations (which
  would require differentiated dictionaries) and the ambiguities that some 
 names would have (for example the nome "Andrea" is used as both a masculin
 e and feminine name).\nThe script is created using the SPARQL language wit
 h a very simple structure\, in which the triplet of data is constructed in
  order to obtain the gender from the name of a person through the query of
  DBpedia.\nThe script can be run in QGIS environment associating the data 
 outputs directly to the geometry or even outside of QGIS and as a result y
 ou will have a list of "genders".\nThe process of relying on Wikipedia/DBp
 edia has the twofold advantage that\, where the name dedicated to street e
 xists\, then the desired information is taken\, the gender in our case\, w
 hile if it missing it can be added or enriched. \nThe script is currently 
 under validation and will be published in the dedicated git repository [3]
 .\n\n[1] https://github.com/geochicasosm \n[2] https://www.toponomasticafe
 mminile.com \n[3] https://github.com/skampus/toponomasticafemminile
DTSTAMP:20260403T204302Z
LOCATION:Room 4
SUMMARY:A Python tool for QGIS for gender recognition in street directories
  - Stefano Campus
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/MFAVFU/
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