Dear Martin,
The RDF extraction service SCOOBIE behind Epiphany can be configured or
let's say trained with any RDF model that describes a certain domain.
I'm working on extedning the Epiphany web service to let user define
which model (even their own) to take for annotating web pages with Epiphany.
So, to support Good Relations, we just will have to give it an RDF model
such as it is available at the Amazon sponger data.
But beside Epiphany I will try to configure SCOOBIE with a small
GoodRelations training set in the next days and keep you up-to-date.
Best regards,
Ben
Martin Hepp (UniBW) schrieb:
Hi Benjamin,
Nice - can you create GoodRelations (http://purl.org/goodrelations/)
patterns in RDFa for existing shop pages, e.g. identify price and
product information?
Just spotting the product name, description, EAN/UPC code, and price
would already very valuable.
Best
Martin
PS: Did you see the Amazon sponger data, e.g. at
http://linkeddata.uriburner.com/about/html/http://linkeddata.uriburner.com/about/id/entity/http/www.amazon.com/exec/obidos/ASIN/0596518552
Benjamin Adrian wrote:
Hi everyone!
Let me introduce the RDFa annotator Epiphany:
It uses configurable domain-specific Linked Data to enrich web pages
with RDFa annotation, automatically.
These annotations link text passages to instances inside the Linked
Data model.
Hovering an annotation with your mouse opens a lighting box with
additional information from the RDF graph behind the instance's HTTP
URI.
Epiphany runs at: http://projects.dfki.uni-kl.de/epiphany/
On the top right you'll find an example.
Under http://projects.dfki.uni-kl.de/epiphany/form, you can write
your own text and receive RDFa content.
Currently, the underlying Linked Data model is a subset of DBpedia
covering German politics.
In later versions you will be able to upload or link your own Linked
Data model to annotate web pages with your own domain specific RDFa.
Please don't hesitate in giving me your comments :). Twitter hashtag
is #RDFEPIPHANY
Regards
Ben
--
__________________________________________
Benjamin Adrian
Email : benjamin.adr...@dfki.de
WWW : http://www.dfki.uni-kl.de/~adrian/
Tel.: +49631 20575 145
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