GoodRelations explained

GoodRelations
Year Started:2001[1]
Base Standards:URI, OWL, RDFa
Related Standards:Microformat, RDFS, N-Triples, Turtle, JSON, JSON-LD, CSV
Abbreviation:schema
Domain:Semantic Web
License:CC-BY-SA 3.0[2]

GoodRelations is a Web Ontology Language-compliant ontology for Semantic Web online data, dealing with business-related goods and services. It handles the individual relationships between a buyer, a seller and the products and services offered. In November 2012, it was integrated into the Schema.org ontology.

Usage

GoodRelations became popular owing to its success in improving search engine results.

By 2009, the ontology's Product concept was being used to describe over a million products and their prices. By 2013, GoodRelations had been adopted by the search engines Yahoo!,[3] Google, and Bing. An analysis of online e-commerce data providers at that time found it to be the most prevalent ontology in use.[3] As of mid-2015, GoodRelations had become the de facto ontology for e-commerce,[4] and was in widespread use, having been adopted by retailers such as BestBuy.

GoodRelations is additionally used in academic studies of the Semantic Web,[5] [6] as a core ontology.[3] [4]

Example

A shop, restaurant, or store, and its opening hours, may be specified using GoodRelations as in this example, which also uses vCard and FOAF:

References

CitationsSources

Notes and References

  1. Web site: History – GoodRelations Wiki. wiki.goodrelations-vocabulary.org.
  2. Web site: GoodRelations Wiki:Copyrights – GoodRelations Wiki. wiki.goodrelations-vocabulary.org.
  3. To comprehensively understand the usage patterns of conceptual knowledge, instance data, and ontology co-usability, we considered GoodRelations ontology as the domain ontology and built a dataset by collecting structured data from 211 web-based data sources that have published information using the domain ontology.. 10.1002/cpe.3089. 4 July 2013. Empirical analysis of domain ontology usage on the Web: eCommerce domain in focus. Jamshaid. Ashraf. Omar Khadeer. Hussain. Farookh Khadeer. Hussain. 26. 5. 1157–1184. Concurrency and Computation: Practice and Experience. 44337539.
  4. 10.1016/j.websem.2016.07.002. Adapting ontologies to best-practice artifacts using transformation patterns: Method, implementation and use cases. Vojtěch. Svátek. Marek. Dudáš. Ondřej. Zamazal. Web Semantics: Science, Services and Agents on the World Wide Web. 40. 52–64. October 2016.
  5. Creating a semantically-enhanced cloud services environment through ontology evolution. Miguel Ángel. Rodríguez-García. Rafael. Valencia-García. Francisco. García-Sánchez. J. Javier. Samper-Zapater. 1 March 2014. Future Generation Computer Systems. 32. 295–306. 10.1016/j.future.2013.08.003.
  6. Book: Covering the Semantic Space of Tourism: An Approach Based on Modularized Ontologies. Robert. Barta. Christina. Feilmayr. Birgit. Pröll. Christoph. Grün. Hannes. Werthner. 3 July 2017. ACM. 1:1–1:8. 10.1145/1552262.1552263. Covering the semantic space of tourism. 9781605585284. 18590141.