Difference between revisions of "Talk:PropertyUsageSorted"

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(usage versus red links: new section)
(usage versus red links)
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red links are problematic e.g. for finding out which contributors are organizations and which ones are natural persons.
 
red links are problematic e.g. for finding out which contributors are organizations and which ones are natural persons.
 +
There would be an NLP problem for making that decision.

Revision as of 11:40, 19 March 2021

Meeting notes 19.3.2021

Goal

Decision on which properties are also needed for the migration to OR LTS based on https://www.openresearch.org/wiki/PropertyUsageSorted & https://www.openresearch.org/wiki/Iteration1_Property_Mapping

TO Discuss

  • all the one we need are tagged with iteration 2
  • meta-properties are tagged with meta-property instead of just Property is this ok? (e.g. https://www.openresearch.org/wiki/Property:Usage_obligation)
  • Property:Has person = superproperty of board members etc → do we take this one or only the fine grained ones
  • how to deal with the ones I set up (e.g. Event type) that are not used yet but needed for DOI registration or ConfIDent
    • Event type ist tagged with iteration 1 the other with iteration 2 so far
      • this might need
  • we shouldn't keep superproperties --> we need a technical descision wrt that
    • flatten out properties (e.g. the venue of an event)

Venue

Example: A venue is a location of an event and it basically consists of what https://www.openresearch.org/wiki/Property:Located_in currently has except that the address should be made more specific and e.g. point to an organization:

e.g. Mariott Hotel, Downtown New York, NY, USA

https://www.rsc.org/events/detail/42460/acs-medi-37th-national-medicinal-chemistry-symposium

Inheritance and N:M

The complexity of inheritance and n:M should be avoided if this is motivated by special and exotic cases

N:M

n:m example: 0xe944df63.png

inheritance

inheritance example: 0xb823fb19.png

usage versus red links

red links are problematic e.g. for finding out which contributors are organizations and which ones are natural persons. There would be an NLP problem for making that decision.