Great work Niclas!

Regarding the mapping between Cypher/Property Graph  and SPARQL/RDF, you
may find this interesting:

   - "Reconciliation of RDF* and Property Graphs" -
   http://arxiv.org/pdf/1409.3288.pdf

A very recent paper by Olaf Hartig (https://cs.uwaterloo.ca/~ohartig/) -
CC'd

Best,
Alex

On Fri, Nov 14, 2014 at 7:02 AM, Jim Salmons <[email protected]>
wrote:

> Hi Niclas, Michael, Mike, and Jacob,
>
> I concur with others in congratulating you and encouraging your work. In
> particular, due to your in-country proximity and shared creative spirits, I
> would encourage Michael to make that proposed get together with Niclas in
> Frankfurt with Axel, Christian, to include the Structr team in your
> conversation. :D
>
> I'm currently working on a cognitive computing initiative in the digital
> humanities domain via www.FactMiners.org where we are leveraging a
> metamodel subgraph design pattern. The idea is to allow as much "pure
> graph" expressiveness and extensibility inside my "Fact Cloud private
> garden" and push LOD (Linked Open Data) query response
> formatting/harmonization as much as possible to a dynamic mapping in the
> FactMiners' platform "presentation/publication" layer -- where RDF/SPARQL
> is such an important factor.
>
> I'm planning to "stand on the shoulders of giants" in this regard by
> making as much use as possible of Karma. Niclas, are you familiar with it?
> I can't help but think that this project would have some interest to you
> considering the transformations and "border crossings" you are wrestling
> with. :-)
>
> Karma is an amazing Open Source "multilingual" ontology-aware cross-model
> smart-mapper providing "Rosetta Stone"-like powers to users coping with the
> ever-shifting publication of Linked Open Data (LOD). Karma is the evolving
> brilliant work from the team of researcher-makers led by Craig Knoblock and
> Pedro Szekely of the Information Sciences Institute at the University of
> Southern California. Here's a short blog post at FactMiners on Karma with
> additional info and links to the project
> <http://www.factminers.org/content/karma-take-lod-factminers>, etc.
>
> Keep up the good work, Niclas.
> -: Jim :-
>
> On Tuesday, November 11, 2014 7:29:01 AM UTC-6, Niclas Hoyer wrote:
>>
>> Hi,
>>
>> as part of my master thesis I developed a new SPARQL plugin for Neo4j.
>>
>> The current plugin <https://github.com/neo4j-contrib/sparql-plugin> is
>> developed as server plugin and somewhat limited, as the SPARQL protocol
>> standards are not correctly implemented (regarding result formats and RDF
>> input).
>>
>> The new plugin is developed as unmanaged extension and fully implements
>> the SPARQL 1.1 Protocol <http://www.w3.org/TR/sparql11-protocol/>
>> standard and the SPARQL 1.1 Graph Store HTTP Protocol
>> <http://www.w3.org/TR/sparql11-http-rdf-update/> standard. That means
>> SPARQL 1.1 queries and update queries are supported and also updating of
>> RDF data using HTTP.
>> For large datasets it is possible to import them in chunks. The plugin
>> will commit smaller chunks to the database to reduce memory consumption.
>>
>> Moreover the plugin includes a new approach to OWL-2 inference using
>> query rewriting of SPARQL algebra expressions. For SPARQL 1.1 queries the
>> plugin will rewrite the query in such a way that also inferred solutions
>> are returned.
>>
>> For more information, download, installation and usage head over to the 
>> GitHub
>> page <https://github.com/niclashoyer/neo4j-sparql-extension>.
>>
>> Regards,
>> Niclas Hoyer
>>
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