Chris Bizer wrote:
Hi Stephane,
I would say:
Silk is about discovering data links (finding out that two data
sources talk about the same real world entity, or that there is a
specific other semantic relation between entities in different data
sources).
VoiD is about describing (providing meta-information about) the links
that you have discovered.
So Silk and Void play nicely together and a workflow for a data
publisher could be:
1. Publish his dataset.
2. Use Silk to discover links between his data source to other data
sources on the Web.
3. Publish these data links together with a Void description on the Web.
In order to support people in using Void, we are thinking about
extending Silk with the ability to output a basic Void description
about the discovered linkset.
Chris,
As you can see with this Meta Cartridge example [1] we do lookups and
provide a VoiD description of the dynamically generated Linked Data Space.
+1 for extending the language to incorporate VoiD so that other can
loosely couple their efforts with ours, or simply build their own :-)
Links:
1.
http://linkeddata.uriburner.com/about/html/http://www.crunchbase.com/company/yahoo
- a meshup across Crunchbase, Calais, Zemanta, and DBpedia.
Kingsley
Cheers,
Chris
*Von:* Stephane Fellah [mailto:fella...@gmail.com]
*Gesendet:* Montag, 2. März 2009 18:58
*An:* Chris Bizer
*Cc:* public-lod@w3.org; Semantic Web;
dbpedia-discuss...@lists.sourceforge.net
*Betreff:* Re: ANN: Silk - Link Discovery Framework for the Web of
Data released.
Chris,
I welcome this initiative. Could you explain how your approach differs
from the VoiD initiative http://semanticweb.org/wiki/VoiD
Best regards
Stephane Fellah
On Mon, Mar 2, 2009 at 10:14 AM, Chris Bizer <ch...@bizer.de
<mailto:ch...@bizer.de>> wrote:
Hi all,
we are happy to announce the initial public release of Silk, a link
discovery framework for the Web of Data.
The Web of Data is built upon two simple ideas: Employ the RDF data
model to publish structured data on the Web and to set explicit RDF
links between entities within different data sources. While there are
more and more tools available for publishing Linked Data on the Web,
there is still a lack of tools that support data publishers in setting
RDF links to other data sources on the Web. With the Silk - Link
Discovery Framework, we hope to contribute to filling this gap.
Using the declarative Silk – Link Specification Language (Silk-LSL),
data publishers can specify which types of RDF links should be
discovered between data sources and which conditions data items must
fulfill in order to be interlinked. These link conditions can apply
different similarity metrics to multiple properties of an entity or
related entities which are addressed using a path-based selector
language. The resulting similarity scores can be weighted and combined
using various similarity aggregation functions. Silk accesses data
sources via the SPARQL protocol and can thus be used to discover links
between local and remote data sources.
The main features of the Silk framework are:
- it supports the generation of owl:sameAs links as well as other
types of RDF links.
- it provides a flexible, declarative language for specifying link
conditions.
- it can be employed in distributed environments without having to
replicate datasets locally.
- it can be used in situations where terms from different vocabularies
are mixed and where no consistent RDFS or OWL schemata exist.
- it implements various caching, indexing and entity pre-selection
methods to increase performance and reduce network load.
More information about Silk, the Silk-LSL language specification, as
well as several examples that demonstrate how Silk is used to set
links between different data sources in the LOD cloud is found at:
http://www4.wiwiss.fu-berlin.de/bizer/silk/
The Silk framework is provided under the terms of the BSD license and
can be downloaded from
http://code.google.com/p/silk/
Happy linking,
Julius Volz, Christian Bizer
--
Regards,
Kingsley Idehen Weblog: http://www.openlinksw.com/blog/~kidehen
President & CEO
OpenLink Software Web: http://www.openlinksw.com
