my AI: Minutes [Re: ML Schema call agenda July 4, 2016]

Dear All,

I have been thinking about an example that is focusing on a high level 'study' concept and what would be good to record about it.
 Please see attached my take on it: an example describing ML study and the corresponding dataset providing reference to a publication and acknowledging the funding body.

I used Dublin Core and and frapo (Funding, Research Administration and Projects Ontology) to capture this information along with MLS for the study and dataset concepts. I have not heard about frapo before but it looks suitable for the purpose.

Please let me know what do you think before I convert it to rdf.

Kind regards,
Larisa 

----------
Dr Larisa Soldatova
Senior Lecturer in Computing
Department of Computer Science
Brunel University, Uxbridge, UB8 3PH
United Kingdom
Tel: +44(0)1895 265783
Fax: +44(0)1895 251686
Email: larisa.soldatova@brunel.ac.uk
________________________________________
From: Agnieszka Ławrynowicz [agnieszka.lawrynowicz@cs.put.poznan.pl]
Sent: Monday, July 04, 2016 1:33 PM
To: public-ml-schema@w3.org; MLW3C
Cc: Agnieszka Ławrynowicz
Subject: Minutes [Re: ML Schema call agenda July 4, 2016]

Dear All,

Thank you for today’s call.
Below please find the minutes (also included at [1]):
ACTIONS & PLANS:
* Put the schema into the http://www.w3.org/ns/mls workspace so it is dereferenceable
* Cite LODE tool on the documentation website
* Check & update example file (MLSchemaSandbox.ttl) so it is consistent with the documentation file, provide a link for downloading the example?
* Provide information on what tools to use to open example(s)
* A plan for position paper / statement paper. Where to publish as a journal paper? (community type of submission). Before that finish and disseminate the draft report.
* @Larisa works on the second, complementary example (focused more on experiments and studies and provenance) (the first example is focused more on runs)

Regards and cheers,
Agnieszka

[1] https://github.com/ML-Schema/core/wiki/Call-minutes

Wiadomość napisana przez Agnieszka Ławrynowicz <agnieszka.lawrynowicz@cs.put.poznan.pl<mailto:agnieszka.lawrynowicz@cs.put.poznan.pl>> w dniu 04..07.2016, o godz. 11:21:

Dear All,

Below please find an agenda for the today’s call of the Machine Learning Schema W3C Community Group.

Call July 4, 2016, 1.30pm CET

Agenda

1. The status of the documentation [1].
2. Open issues.


We will use Google Hangout for the call [2].

Regards and Cheers,

Agnieszka


[1] https://github.com/ML-Schema/documentation/tree/gh-pages<https://github..com/ML-Schema/documentation>
[2] https://hangouts.google.com/call/dskyydrmpsybpvxhql5aehiht4a