<a name="overview">Berners-Lee's compelling vision of a Semantic Web is hindered by a
chicken-and-egg problem, which can be best solved by a bootstrapping
method, creating enough structured data to motivate the development
of applications. We believe that autonomously `Semantifying
Wikipedia' is the best way to solve the problem. We choose Wikipedia
as an initial data source, because it is comprehensive, not too large,
high-quality, and contains enough manually-derived structure to
bootstrap an autonomous, self-supervised process. Specifically,
Wikipedia contains infoboxes, taxonomic data, multi-lingual
correspondences, link structures, edit history, and other features
which greatly simplify extraction.
</a><p><a name="overview">The Intelligence in Wikipedia Project aims to accelerate the
extraction of Wikipedia knowledge, e.g. with construction of
infoboxes, and link the resulting schemata together to form a
knowledge base of outstanding size. Not only will this `semantified
Wikipedia' be an even more valuable resource for AI, but it will
support Faceted browsing and simple forms of inference that may
increase the recall of question-answering systems.</a></p>
