[ANN] iRap - an interest-based RDF update propagation framework release v0.1

Dear all,

We are glad to announce the first public release of the iRap -
interest-based RDF updAte Propagation Framework.
iRap propagates interesting parts of updates (i.e. changesets) from a
source to a target dataset. It enables applications to subscribe to
relevant datasets and consistently reflect the necessary changes locally
without the need to frequently replace the entire dataset (or a relevant
subset).

iRap features includes:

  * Declarative definition of interest expressions using SPARQL basic
graph pattern
  * Tracking changeset releases from remote/local dataset
  * Changeset propagation from multiple source dataset to a target
dataset.
  * Supports propagation to TDB datasets and SPARQL 1.1 Update enabled
endpoints

This is the initial release of iRap and we are working on improving and
adding extra features to support diverse ways of changeset publication and
tracking. We welcome your feedback on features and improvements!

Links:

  * Github: https://github.com/EIS-Bonn/iRap
  * Website: http://eis.iai.uni-bonn.de/Projects/iRap
  * mailing-list: https://groups.google.com/forum/#!forum/irap-ld

Further detail can be found here (Submitted to ISWC2015) ->
http://eis.iai.uni-bonn.de/upload/paper/ISWC2015Research_submission_79.pdf.


Have fun!


On behalf of iRap team,

Kemele M. Endris

EIS Enterprise Information Systems
University of Bonn, Germany

Received on Thursday, 28 May 2015 20:51:30 UTC