Re: RDF Datasets with provenance data

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
>> [image: My Twitter] <https://twitter.com/mullekay> [image: My
>LinkedIn]
>> <https://de.linkedin.com/in/mullerkay> [image: My Xing]
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>> <https://github.com/mullekay> [image: My Google Scholar]
>> <https://scholar.google.de/citations?user=8tFijv0AAAAJ>
>>
>>

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