Infovore 1.0 released

I’m proud to announce the 1.0 release of Infovore,  a complete RDF
processing system

* a Map/Reduce framework for processing RDF and related data
* an application that converts a Freebase quad dump into standard-compliant RDF
* an application which creates consistent subsets of Freebase,
including compound value types,  about subsets of topics that can be
selected with SPARQL-based rules
* a query-rewriting system that enforces a u.n.a island while allowing
the use of multiple memorable and foreign keyed names in queries as
does the MQL query engine
* a whole-system test suite that confirms correct operation of the
above with any triple store supporting the SPARQL protocol

See the documentation here

https://github.com/paulhoule/infovore/wiki

to get started.

The chief advantage of Infovore is that it uses memory-efficient
streaming processing,  making it possible,  even easy,  to handle
billion-triple data sets on a computer with as little as  4GB of
memory.

Future work will likely focus on the validation and processing of the
official Freebase RDF dump as well as other large RDF data sets.

Received on Tuesday, 8 January 2013 00:38:27 UTC