Product ontology program manager - pittsburgh




















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On this page: Usage Examples schema. Breaking news: schema. GoodRelations is a standardized vocabulary also known as "schema", "data dictionary", or "ontology" 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. While the classes provided by this service are initially meant to complement GoodRelations and schema. You can use this ontology to describe any object for which a matching entry in the English Wikipedia exists. In Microdata syntax with the schema. Thanks to the many links between the multiple language editions of Wikipedia, you can search for the best class in your favorite language, e.

For describing typical characteristics of the object, like weight, depth, length, width, color, or condition, you can use the predefined GoodRelations properties:.

You can also use relevant properties from other GoodRelations-compliant vocabularies, like those for Vehicles or Tickets.

One of the most powerful usages of the class definitions from this site is to describe the type of your page and product for the schema. Simply add the full URI of a class from this site, e. You can also use the class definitions from this site for better describing the type of your page or product for the Facebook Open Graph Protocol.

By default, it just returns the most frequently requested classes. You can fetch all classes by using the parameters limit and offset as follows:.

The default and maximum value for limit is , the default for offset is 0. The HTTP response headers will contain additional parameters that help fetching all classes:. So you can create a simple loop that increases the offset by a fixed number until the number of results returned is less than the requested number of items.

Note 1: This dump file does neither include textual class definitions rdfs:comment nor non-English class labels. Thus, you can fetch all textual definitions and translations by following those rdfs:seeAlso links. Note 2: This dump file contains only those classes that have been already requested individually. In other words, the number of class definitions available in the dump file grows with the usage of our service. If you add this link to your bookmarks , you can easily get from any page in the English Wikipedia to the proper class definition on this site.

DBpedia extracts data, e. This works well for Wikipedia entries that represent individuals , e. John F. Kennedy, the city of Paris, Germany as a country, etc. Unfortunately, you cannot use DBpedia identifiers to indicate class membership , because they have a strange semantics. That means, DBpedia says that the entity is an actual soldering iron, instead of being the topic "soldering iron" or a class.

So DBpedia URIs cannot be used for modeling the type of real-world objects, in particular in the context of the GoodRelations ontology , because. For the majority of the 3.



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