Wikipedia
is the by far largest publicly available encyclopedia on the Web.
Wikipedia editions are available in over 250 languages with the English
one accounting for more than 1.95 million articles. Wikipedia has the
problem that its search capabilities are limited to full-text search,
which only allows very limited access to this valuable knowledge-base. Semantic Web
technologies ...
more
DBpedia is a community effort to extract structured
information from Wikipedia and to make this information available
on the Web. DBpedia allows you to ask sophisticated queries against
Wikipedia and to link other datasets on the Web to Wikipedia data.
Project Overview
Wikipedia
is the by far largest publicly available encyclopedia on the Web.
Wikipedia editions are available in over 250 languages with the English
one accounting for more than 1.95 million articles. Wikipedia has the
problem that its search capabilities are limited to full-text search,
which only allows very limited access to this valuable knowledge-base.
Semantic Web
technologies enable expressive queries against structured information
on the Web and to interlink data between different Web data sources.
The Semantic Web has the problem that there is not much RDF data online
yet and that up-to-date terms and ontologies are missing for many
application domains.
The DBpedia project approaches both problems by extracting structured
information from Wikipedia and by making this information available
on the Semantic Web.
The DBpedia dataset currently provides information about more than 1.95
million “things”, including at least 80,000 persons, 70,000 places,
35,000 music albums, 12,000 films. Altogether, the DBpedia dataset
consists of 103 million pieces of information (RDF triples).
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