- From: <t.omitola@ecs.soton.ac.uk>
- Date: Thu, 02 Feb 2012 15:03:14 +0000
- To: Benedikt Kämpgen <kaempgen@fzi.de>
- Cc: public-gld-wg@w3.org
Benedikt From an academician's point of view :-) , the most general relations that exist between things are time, space, cause, and number. So, the dimensions you stated (area -> sector, etc) can be grouped under spatial granularity. What do others think? Best Tope Quoting Benedikt Kämpgen <kaempgen@fzi.de>: > Hello, > > do you consider that there might not only temporal and spatial granularities > be interesting about a dataset, but any granularity on a hierarchy (e.g., > granularity along industry classifications such as area -> sector -> branch)? > > Best, > > Benedikt > > > -- > AIFB, Karlsruhe Institute of Technology (KIT) > Phone: +49 721 608-47946 > Email: benedikt.kaempgen@kit.edu > Web: http://www.aifb.kit.edu/web/Hauptseite/en > > > > >> -----Original Message----- >> From: Government Linked Data Working Group Issue Tracker >> [mailto:sysbot+tracker@w3.org] >> Sent: Thursday, January 26, 2012 10:44 AM >> To: public-gld-wg@w3.org >> Subject: ISSUE-10 (granularity): Refine dcat:granularity to >> dcat:spatialGranularity and dcat:temporalGranularity [DCAT] >> >> >> ISSUE-10 (granularity): Refine dcat:granularity to >> dcat:spatialGranularity and >> dcat:temporalGranularity [DCAT] >> >> http://www.w3.org/2011/gld/track/issues/10 >> >> Raised by: Richard Cyganiak >> On product: DCAT >> >> Raised in the original eGov system where it is Issue 40 >> http://www.w3.org/egov/IG/track/issues/40 >> >> > > > >
Received on Thursday, 2 February 2012 15:04:02 UTC