ANN: LDIF - Linked Data Integration Framework V0.1 released.

[Chris Bizer]

Hi all,

we are happy to announce the release of the initial version of the
LDIF – Linked Data Integration Framework today.

LDIF is a software component for building Linked Data applications
which translates heterogeneous Linked Data from the Web into
a clean, local target representation while keeping track of data
provenance.

Applications that consume Linked Data from the Web are confronted with
the following two challenges:

1. data sources use a wide range of different RDF vocabularies to
represent data about the same type of entity.
2. the same real-world entity, for instance a person or a place, is
identified with different URIs within different data sources.

The usage of various vocabularies as well as the usage of URI aliases
makes it very cumbersome for an application developer to write for
instance SPARQL queries against Web data that originates from multiple
sources.

A successful approach to ease using Web data in the application
context is to translate heterogeneous data into a single local target
vocabulary and to replace URI aliases with a single target URI on the
client side before starting to ask SPARQL queries against the data.

Up-till-now, there have not been any integrated tools available that
help application developers with these tasks.

With LDIF, we try to fill this gap and provide an initial alpha
version of an open-source Linked Data Integration Framework that can
be used by Linked Data applications to translate Web data and
normalize URI aliases.

For Identity resolution, LDIF builds on the Silk Link Discovery
Framework.
For data translation, LDIF employs the R2R Mapping Framework.

More information about LDIF and a concrete usage example is provided
on the LDIF website at

http://www4.wiwiss.fu-berlin.de/bizer/ldif/

Lots of thanks to

Andreas Schultz (FUB)
Andrea Matteini (MES)
Robert Isele (FUB)
Christian Becker (MES)

for their great work on the LDIF Framework.

Cheers,

Chris


Acknowledgments

The development of LIDF is supported in part by Vulcan Inc. as part of
its Project Halo and by the EU FP7 project LOD2 - Creating Knowledge
out of Interlinked Data (Grant No. 257943).

--
Prof. Dr. Christian Bizer
Web-based Systems Group
Freie Universität Berlin
+49 30 838 55509
http://www.bizer.de
ch...@bizer.de