DBpedia Makes Wikipedia Part Of The Semantic Web
November 21, 2014
SemanticWeb.com posted an article called “Retrieving And Using Taxonomy Data From DBpedia” with an interesting introduction. It explains that DBpedia is a crowd-sourced Internet community whose entire goal is to extract structured information from Wikipedia and share it. The introduction continues that DBpedia already has over three billion facts W3C standard RDF data model ready for application use.
The W3C standards are already written using the SKOS vocabulary, primarily used by the New York Times, the Library of Congress, and other organizations for their own taxonomies and subject headers. Users can extrapolate the data and implement it in their own RDF applications with the goal of giving your data more value.
DBpedia is doing a wonderful service for users so they do not have to rely on proprietary software to deliver them rich taxonomies. The taxonomies can be retrieved under the open source community bylaws and gain instant improvement for content. There is one caveat:
“Remember that, for better or worse, the data is based on Wikipedia data. If you extend the structure of the query above to retrieve lower, more specific levels of horror film categories, you’d probably find the work of film scholars who’ve done serious research as well as the work of nutty people who are a little too into their favorite subgenres.”
Remember Wikipedia is a good reference tool to gain an understanding of a topic, but you still need to check more verifiable resources for hard facts.
Whitney Grace, November 21, 2014
Sponsored by ArnoldIT.com, developer of Augmentext
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