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 > -- You received this message because you are subscribed to the Google Groups "Neo4j" group. To unsubscribe from this group and stop receiving emails from it, send an email to neo4j+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
