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RE: Comments on ID50

From: <Peter.Winstanley@gov.scot>
Date: Tue, 5 Sep 2017 08:34:43 +0000
To: <jaroslav.pullmann@fit.fraunhofer.de>, <public-dxwg-wg@w3.org>
Message-ID: <BEA9D5BE2C1C76448E2955B1FD8769E10185C5FE56@s0393g.scotland.gov.uk>
Hi Jaroslav

I think a 'typology of change' is really useful, because in addition to being descriptive of the events it can also help people understand the dataset lifecycle better, and through that the sorts of evolutionary pathways for data.  
This reminds me a little of the classification David Baltimore set up for viruses - essentially it was all the possible strategies for routing to single positive strand (m)RNA.  I guess with datasets there will be similar and the standard typology for change will help

+1

Peter

-----Original Message-----
From: Jaroslav Pullmann [mailto:jaroslav.pullmann@fit.fraunhofer.de] 
Sent: 04 September 2017 16:46
To: Winstanley FP (Peter); public-dxwg-wg@w3.org
Subject: Comments on ID50


   Dear Peter, dear all 

     as said, the use case of distinguishing the type of Dataset/Distribution update makes sense to me, 
    e.g. when it comes to the decision whether to notify a its clients of "substantial" changes or not.  
    Within your  UC description there are samples of changes to content (deduplication) and Distribution 
    (compression), the latter not related to content, i.e. Dataset part. 

    Would you mind to generally consider "typology of change" applied to any DCAT resource (Catalog/Dataset/
    Distribution), where the "change to information content" is one of the change types? 

    Each type has to be further specified with regards to affected dimensions (only), e.g. cutting down 5 past years 
    of data series affects the temporal coverage resulting in a new coverage range (but not influencing the semantics).  
  
   We might consider subclassing prov:Activity to model and define some generic types of change, examples
   given by Prov-O document among others are: "processing", "transforming", "modifying", "relocating". 
   In case of  "altering" information content of Dataset we should define the conditions when this happens and
   on the contrary which Dataset updates do not lead to a change of this category.  
 
    Best regards
   Jaroslav
 
-- 
Jaroslav Pullmann
Fraunhofer Institute for Applied Information Technology FIT
User-Centered Ubiquitous Computing
Schloss Birlinghoven | D-53757 Sankt Augustin | Germany
Phone: +49-2241-143620 | Fax: +49-2241-142146 


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Received on Tuesday, 5 September 2017 08:35:13 UTC

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