PyWikipedians,
Regardless of whether this talk gets accepted at Wikimania, we would like
to talk with anyone interested in building this kind of bot. Please
contact me off-list if this is your kind of thing.
-jrf
http://wikimania2012.wikimedia.org/wiki/Submissions/TREC-KBA-Mining-Content…
TREC KBA - Mining Content Streams to Recommend Page Updates to Editors
Abstract: We have organized a new session in NIST's Text Retrieval
Conference (TREC) called Knowledge Base Acceleration (KBA). TREC KBA
challenges computer science researchers to develop algorithms that mine
content streams, such as news and blogs, to recommend edits to knowledge
bases (KB), such as Wikipedia. We consider a KB to be "large" if the
number of entities described by the KB is larger than the number of humans
maintaining the KB. As entities change and evolve in the real world, large
KBs often lag behind by months or years. Such large KBs are an
increasingly important tool in several industries, including biomedical
research, law enforcement, and financial services. TREC KBA aims to
develop algorithms for helping KB editors stay abreast of changes to the
organizations, people, proteins, and other entities described by their
KBs. In this talk, we will give an overview of the TREC KBA data sets and
tasks for 2012 and future years. In addition to developing text analytics,
we are also working on a wikipedia bot for connecting KBA-type systems to
users' talk pages in mediawiki. After presenting the current state of our
bot development, we hope to engage the audience in an open discussion
about how such algorithms might be most fruitfully employed in the
Wikipedia community.
http://trec-kba.org/
(If you want this talk to get accepted in Wikimania this July, consider
putting your name on the "interested" list in the wiki linked above.)