ANN: LDIF - Linked Data Integration Framework Version 0.5

[Andrea Matteini]

Hi all,

we are happy to announce the release of the LDIF – Linked Data
Integration Framework Version 0.5.

LDIF can be used within Linked Data applications to translate
heterogeneous data from the Web of Linked Data into a clean local
target representation while keeping track of data provenance.
LDIF translates data from the Web into a consistent target vocabulary
and includes an identity resolution component which translates URI
aliases into single target URI.
In order to deal with use cases of different sizes, LDIF is provided
with an in-memory implementation as well as an RDF-store-backed
implementation and a Hadoop implementation.

Version 0.5 includes the following new features:
* a data quality assessment and fusion module (Sieve) for cleansing
data according to user-provided quality assessment policies and
conflict resolution methods;
* a more flexible Integration workflow: single phases can now be
executed or skipped;
* a REST based status monitor;
* improvements in the Output module: QuadStore and intermediate
results outputs are now supported;
* improvements in the Data Access module: RDF/XML and Turtle formats
are now supported.

LDIF is provided under the terms of the Apache Software License. More
information about LDIF, concrete usage examples and performance
details are available at http://ldif.wbsg.de/

The development of LDIF is supported in part by Vulcan Inc. as part of
its Project Halo and by the EU FP7 project LOD2 (Grant No. 257943).

Cheers,

Andreas Schultz, Andrea Matteini, Robert Isele, Chris Bizer and
Christian Becker