Just popping in to say wow - that is a fantastic contribution, great work!

On Thu, Nov 13, 2014 at 1:16 PM, Mike Bryant <[email protected]> wrote:

> First of all, thanks very much for this. It looks great!
>
> My personal interest is being able to query standard Neo4j property graphs
> via SparQL and export them as triples. To some extent you can currently do
> this using the Blueprints PropertyGraphSail, but where I'm lacking the
> knowledge and insight (and time to research!) is in creating mapping
> schemas or using some inference step to produce triples such that "property
> X of node/edge with label Y = Z", adding domain-specific semantics.
>
> I too will be keen to here more details about this.
> Cheers,
> ~Mike
>
> On Thursday, 13 November 2014 11:47:57 UTC, Michael Hunger wrote:
>>
>> Interesting.
>> I always wondered if it was possible to transform RDF to a more compact
>> property graph model on import but still allow RDF queries / export on top
>> of that.
>> This would be more efficient both in space and performance but more
>> involved at the import stage.
>>
>> E.g. all rdf triples that identify "properties" would be transformed into
>> real properties and relevant type/ontology information would be (also)
>> transformed into Labels.
>> Only the "real" semantic relationships that add value to the domain would
>> kept as actual relationships but potentially augmented with properties too.
>>
>> One could also imagine a "graph optimization applied to the RDF graph"
>> that does the above but leaves the original RDF model in Neo4j but uses the
>> optimized version for more efficient querying?
>>
>> Cool, then perhaps we can meet somewhere in Germany (Berlin, Frankfurt),
>> or you can come over to our Malmö office for a meetup to show it off?
>>
>> Looking forward to your blog post. I'd love to see a complete roundtrip
>> covered, from import to queries and inference.
>>
>> If you need anything from me, please ping me.
>>
>> Cheers, Michael
>>
>>
>> On Thu, Nov 13, 2014 at 12:11 PM, Niclas Hoyer <[email protected]>
>> wrote:
>>
>>>
>>> Do you have any information about the model you use to store RDF
>>>> efficiently and any performance numbers? Esp. comparing it with cypher?
>>>> That would be really interesting.
>>>>
>>> The plugin is based on the blueprints framework and the "SAIL
>>> Ouplementation
>>> <https://github.com/tinkerpop/blueprints/wiki/Sail-Ouplementation>". A
>>> RDF triple is mapped as a directed edge. All information is stored in the
>>> properties. So e.g. a URI node in RDF <http://example.com> is mapped as
>>> ({kind: "uri",
>>> value: "http://example.com"; }). The URI of an edge is represented as
>>> type of the edge in Neo4j. The mapping does not use labels on nodes.
>>>
>>> I tested performance against the Fuseki
>>> <https://jena.apache.org/documentation/serving_data/> Graphstore with
>>> different sizes of datasets. Unfortunately the RDF mapping has its
>>> drawbacks, because Neo4j needs much more space than Fuseki. The largest
>>> dataset I tried was 17.9 GB in n-triples format.
>>> Fuseki uses ~ 9 GB disk space after import, but Neo4j allocated 390 GB.
>>> That also results in about 27 times slower query execution on this large
>>> dataset. Using the smallest dataset with just 2 MB Neo4j is just 2.4 times
>>> slower than Fuseki. I used the "Berlin SPARQL Benchmark
>>> <http://wifo5-03.informatik.uni-mannheim.de/bizer/berlinsparqlbenchmark/>"
>>> for testing.
>>>
>>> Do you have any examples for rdf / turtle import using the plugin?
>>>>
>>> Yes, on the GitHub
>>> <https://github.com/niclashoyer/neo4j-sparql-extension#sparql-graph-protocol>
>>> page there is an example for turtle import using curl. A PUT request to the
>>> graph resource will replace all data in the graph:
>>>
>>> $ curl -v -X PUT \
>>>        localhost:7474/rdf/graph \
>>>        -H "Content-Type:text/turtle" --data-binary @data.ttl
>>>
>>>
>>>> And if you had a blog post, we could help you promote the plugin and
>>>> also link it from our website.
>>>>
>>> Yes, I don't have a blog post yet. I'll come back to you as soon as I've
>>> got something.
>>>
>>>
>>>> Where are you located?
>>>>
>>>  Kiel, Germany.
>>>
>>> Regards,
>>> Niclas
>>>
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>>
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