Re: RDF Datasets with provenance data

Hi. The project is currently evolving from just an analysis phase and I
only have this draft although it describes how the triples and metadata
should be encoded.

Regards,
Sebastián

On Sep 23, 2016 7:01 PM, <hellmann@informatik.uni-leipzig.de> wrote:

> Hi Sebastian,
> would you be so kind to tell us the name of the project?
>
> Would you be able to send us pointers to the pages where we can download
> the RDF files with the metadata per triple?
>
> Thanks,
> Sebastian
>
>
> Am 23. September 2016 17:13:16 MESZ, schrieb Sebastian Samaruga <
> ssamarug@gmail.com>:
>>
>> Hi,
>>
>> I'm currently involved in a project where the scope comprehends three
>> goals:
>>
>> 1) Infer as much metadata as possible only aggregating source 'raw' RDF
>> triples and then extract from the metadata resource's classes or types,
>> resource's relationship types and relationship instances and extract what
>> could be called 'operations', state flows that could have gave birth to the
>> state of a graph at a given point. This is currently done with a special
>> type of resource or 'Kinds' but can be translated to RDFS / OWL.
>>
>> 2) Align and merge data sets. Infer equivalence between resources.
>>
>> 3) Use the triples quad context to sort triple occurrences in time
>> (timestamp) and to sort triple 'kinds' in a time - logical order
>> relationship (ie. before cooking a cake the ingredients should be bought
>> and, as a specialization, for apple cake, apple should be bought).
>>
>> Regards.
>> Sebastián.
>>
>> On Sep 23, 2016 11:19 AM, "Kay Müller" <kay.mueller@informatik.uni-
>> leipzig.de> wrote:
>>
>>> Dear Sir/Madam,
>>>
>>> My name is Kay Mueller and I am a researcher at the University of
>>> Leipzig. Currently we are planing to evaluate whether it is feasible to
>>> store provenance and meta data for each triple in a graph, hence we are
>>> wondering whether you are aware of any dataset which either stores data at
>>> the triple level or which could be converted into this format (e.g. Yago,
>>> Wikidata).
>>>
>>> We would be very grateful, if you could give us any pointers to
>>> datasets, related work, etc.
>>> Thank you very much in advance.
>>> --
>>> Kind regards / Mit freundlichem Gruß
>>>
>>> Kay Müller
>>>
>>> [image: AKSW/KILT] <http://aksw.org/Groups/KILT.html>
>>> Office: InfAI e.V., Hainstr. 11, Room 101a, 04109 Leipzig, Germany
>>> Homepage: http://aksw.org/KayMueller.html
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>>> <https://github.com/mullekay> [image: My Google Scholar]
>>> <https://scholar.google.de/citations?user=8tFijv0AAAAJ>
>>>
>>>
> --
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>