- From: Benedikt Kaempgen <kaempgen@fzi.de>
- Date: Fri, 1 Mar 2013 10:13:33 +0000
- To: Dave Reynolds <dave.e.reynolds@gmail.com>, "Government Linked Data Working Group" <public-gld-wg@w3.org>
Hi, >Proposed approach: Address this via a working group Note. May I suggest to not produce another document and to add this information to the planned QB UC&R WG Note? There already is a requirement to clarify the relationship to O&M [1] which we could do in-place. On a site note regarding a review of a refined specification: I am not in the office from 2nd until 6th of March. Best, Benedikt [1] <https://dvcs.w3.org/hg/gld/raw-file/default/data-cube-ucr/data-cube-ucr-20130227/index.html#VocabularyshoulddefinerelationshiptoISO19156ObservationsMeasurements> ________________________________________ Von: Dave Reynolds [dave.e.reynolds@gmail.com] Gesendet: Donnerstag, 28. Februar 2013 18:55 An: Government Linked Data Working Group Betreff: [QB] ISSUE-32 relation to O&M ISSUE-32 [1] concerns the relationship between Data Cube and ISO 19156 Observations and Measurements. Proposed approach: Address this via a working group Note. [I had previously proposed a non-normative appendix to the spec, but on reflection making this a WG Note allows it to proceed to a separate timescale and is then not slowing down LC.] The note would roughly say ... o Data Cube can also be used for things like sensor measurements and forecasting, it is not limited to statistics. o A well known standard for measurement information is OGC Observations and Measuresments (O&M), ISO19156. o How does Data Cube relate to O&M? o Since Data Cube has a concept qb:Observation it might be tempting to think of this as being an Observation in the sense of O&M. In some cases that may be appropriate but not always. o O&M provides a representation for a how to describe the measurement process, the phenomenon being measured and the domain ("feature of interest") over which the observation takes place together with the result of the measurement. The result may be a simple value but can be, and often is, a set of values (Discrete Coverage) for example over time or over space or both. o Thus one approach to using both specifications together is to use Data Cube as a representation for O&M Discrete Coverage. O&M provides the contextual metadata describing the measurement process and measured phenomena. Data Cube provides the representation for the values which result from the observation, allowing us to give e.g. the time, location of each sample within the result. The two complement each other. Dave [1] http://www.w3.org/2011/gld/track/issues/32
Received on Friday, 1 March 2013 10:14:02 UTC