DBpedia: Difference between revisions
(adding classes for architectural structures such as buildings, roads and rail lines) |
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***** http://mappings.dbpedia.org/server/ontology/classes/RailwayLine | ***** http://mappings.dbpedia.org/server/ontology/classes/RailwayLine | ||
***** http://mappings.dbpedia.org/server/ontology/classes/Road | ***** http://mappings.dbpedia.org/server/ontology/classes/Road | ||
**** http://mappings.dbpedia.org/server/ontology/classes/Station | |||
***** http://mappings.dbpedia.org/server/ontology/classes/RailwayStation | |||
Revision as of 16:32, 19 August 2012
DBpedia (.org) is a community effort to extract structured information from Wikipedia and to make this information available on the Web. The datasets made by DBpedia can be queried with w:SPARQL language if MediaWiki/Extensions#LinkedWiki extension is installed on a mediawiki. This way lot of company information ( Founded in year, type of business entity etc. etc. ) can be fetched from datasets of infobox data on the 'pedia.
http://wiki.dbpedia.org/Datasets contains information on the available datasets such as Wikipedia infobox templates and categories
DBpedia datasets can be used in Consumium implementation wiki through the LinkedWiki extension
http://wiki.dbpedia.org/Ontology contains for example information about 169,000 organizations
Ontology classes useful in Consumium:
- http://mappings.dbpedia.org/server/ontology/classes/Company ( 40.000+ instances )
- http://mappings.dbpedia.org/server/ontology/classes/Non-ProfitOrganisation
- http://mappings.dbpedia.org/server/ontology/classes/Food
- http://mappings.dbpedia.org/server/ontology/classes/MeanOfTransportation
- http://mappings.dbpedia.org/server/ontology/classes/Place
- http://mappings.dbpedia.org/server/ontology/classes/ArchitecturalStructure
- http://mappings.dbpedia.org/server/ontology/classes/Building
- http://mappings.dbpedia.org/server/ontology/classes/Infrastructure
- http://mappings.dbpedia.org/server/ontology/classes/ArchitecturalStructure
Dbpedia infobox dataset contains information about 40,000 companies
http://dbpedia.org/sparql - contains ability to formulate SPARQL queries against DBpedia's datasets