New Web Annotation motivation for (data quality) assessment?

Hi everyone,

The W3C Data on the Web Best Practices has released a new version of its Data Quality Vocabulary (DQV) working draft.
DQV makes uses of the Web Annotation model for representing 'Quality Assessments' [1].

But for doing this, we need a way to explicitly represent that these QA annotations are about QA. There are basically two options:
- create our own subclass of oa:Annotation
- use the standard Annotation class, but use it together with an instance of oa:Motivation (linked to the annotation by oa:purpose) that reflects the QA goal, such as dqv:qualityAssessment.

For the moment we've implemented the second option, and I think it is our prefered one. But this can be changed. In fact we have discussed the matter with you earlier [2], and we've agreed it could be better to leave some time for both specs to mature. Now clearly the time has come!

First, it would be good to have a sort of approval on whether our motivation-based approach still seems the right one to follow.

Second, if the WA group agrees with our motivation-based approach, then we need to think of the fate of dqv:qualityAssessment.
Rob and I have just discussed it at the iAnnotate conference.

Ideally for DQV the qualityAssessment Motivation would sit in the WA namespace, so that we do not have to do a motivation extension for just one instance of oa:Motivation.
Even if the WA group would not do this, we need a proper instance of oa:Motivation in the default set of motivations (something like oa:assessment), so that we can specialize it.
Our problem is indeed that qualityAssessment doesn't really match *one* existing motivation. Some quality assessment can be comments, other could be tags.

Could the WA WG include something with the vocabulary for us to be able to meet our needs?

Thanks a lot,  

Antoine

[1] https://www.w3.org/TR/2016/WD-vocab-dqv-20160519/#dqv:QualityAnnotation
[2] http://lists.w3.org/Archives/Public/public-annotation/2015Aug/0122.html

Received on Friday, 27 May 2016 06:57:29 UTC