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GoodRelations - The Web Vocabulary for E-Commerce

This is the archive of the goodrelations dicussion list

GoodRelations is a standardized vocabulary for product, price, and company data that can (1) be embedded into existing static and dynamic Web pages and that (2) can be processed by other computers. This increases the visibility of your products and services in the latest generation of search engines, recommender systems, and other novel applications.

[goodrelations] ANN: http://www.productontology.org - more than 300, 000 specific OWL DL classes for types of objects

Martin Hepp martin.hepp at ebusiness-unibw.org
Tue Mar 1 19:13:30 CET 2011

Dear all:

We are happy to release http://www.productontology.org, an online-service
that provides valid OWL DL class definitions for all of the ca. 300,000 types
of products or services that are contained in the 3.5 million Wikipedia entries.

In short, www.productontology.org provides for the schema level what DBpedia 
provides for the data / instance level of the Semantic Web.

A few examples:

  Laser_printer   http://www.productontology.org/id/Laser_printer
  Manure_spreader http://www.productontology.org/id/Manure_spreader
  Racing_bicycle  http://www.productontology.org/id/Racing_bicycle
  Soldering_iron  http://www.productontology.org/id/Soldering_iron
  Sweet_potato    http://www.productontology.org/id/Sweet_potato

The Product Ontology is designed to be compatible with the GoodRelations 
Ontology for e-commerce, but it can be used for any other Semantic Web or
Linked Data purpose that requires class definitions for objects.

All Wikipedia translations are preserved.

Background informations and FAQs: 

Examples in RDF/XML, Turtle, and RDFa:

Any feedback is highly appreciated!

Acknowledgments: Thanks to Axel Polleres, Andreas Radinger, Alex Stolz, and
Giovanni Tummarello for very valuable feedback. 

The work on The Product Types Ontology has been supported by the German Federal
Ministry of Research (BMBF) by a grant under the KMU Innovativ program as part
of the Intelligent Match project (FKZ 01IS10022B).

martin hepp
e-business & web science research group
universitaet der bundeswehr muenchen

e-mail:  hepp at ebusiness-unibw.org
phone:   +49-(0)89-6004-4217
fax:     +49-(0)89-6004-4620
www:     http://www.unibw.de/ebusiness/ (group)
       http://www.heppnetz.de/ (personal)
skype:   mfhepp 
twitter: mfhepp

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