A very interesting idea to extract specific information out of Wikipedia.
Do have a look.
---------- Forwarded message ----------
From: Richard Symonds <richard.symonds(a)wikimedia.org.uk>
Date: Thu, Mar 29, 2012 at 8:12 PM
Subject: [Wmfcc-l] PRESS: New search tool to unlock Wikipedia
To: Communications Committee <wmfcc-l(a)lists.wikimedia.org>
http://www.newscientist.com/article/dn21625-new-search-tool-to-unlock-wikip…
WOULD you like to ask Wikipedia tougher questions than today's simple
keyword searches allow? A prototype plug-in that can do just that will be
demonstrated at the World Wide Web
conference<http://swipe.i-mozart.com/www2012demo/TR_swipe.pdf>
in Lyon, France, next month.
Called Swipe - loosely short for "searching Wikipedia by example" - the
software aims to let users of the online encyclopedia answer complex
questions that most search engines would stumble over. For example, trying
to figure out "which actresses won academy awards when they were under 30
years old in the last 25 years?" becomes relatively simple when using the
program.
To use Swipe, questions are not typed out in the form of the natural
language above, but Swipe is nevertheless designed for everyday users: no
knowledge of arcane database query languages is necessary, say the
developers, Maurizio Atzori at the University of Cagliari, Sardinia, and
Carlo Zaniolo at the University of California, Los Angeles.
The pair wrote Swipe using MediaWiki, the software Wikipedia is based on,
but it draws its answers from
DBpedia<http://en.wikipedia.org/wiki/Dbpedia#Example> ,
an expansive collection of 3.6 million data entries harvested from
Wikipedia's pages. The data pop up in the info boxes on the right-hand side
of Wikipedia entries, which list the details we use to describe the world,
such as dates, prices, ages, heights, names, places, distances, bit rates,
bytes, running times and geographical coordinates.
At a very basic level, Atzori and Zaniolo use this process in reverse:
Swipe "activates" those Wikipedia info boxes, allowing users to take the
data in them and create a tweaked version, and in doing so calls up pages
that match that altered information. For example, says Atzori: "Imagine you
want to search for all Wikipedia pages about singers from North America who
are younger than 20." With Swipe running, you go to an example of a known
singer's page - Lady Gaga's, say - and in the "Born" field overwrite
her
age of 25 with "<20" and replace "New York, New York" with
"North America".
Swipe then automatically converts that into a DBpedia query that returns a
page with a list of entries that match your requirements.
In a demo video, the pair show how to use pop singer Robbie Williams's
Wikipedia page to find a list of "musicians" with the first name
"Mike" who
don't play "poprock" - by overwriting his name and occupation, and placing
the construct "un" before the genre "poprock" (watch the video
above).
Swipe could easily be made available as an option on Wikipedia one day,
says Atzori.
"I like the idea because of its simplicity and the way it uses familiar
Wikipedia info boxes to construct powerful queries," says Nigel
Shadbolt<http://users.ecs.soton.ac.uk/nrs> ,
head of the web and internet science group at the University of
Southampton, UK.
"Structured data resources like DBpedia represent a really rich knowledge
base," he adds, but they are difficult for the average internet user to
take advantage of. "If we could build a query engine that's usable by all,
that would be a real winner," he says.
Richard Symonds
Office & Development Manager
Wikimedia UK+44 (0) 207 065 0992
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Noopur Raval
Student
Arts and Aesthetics
Jawaharlal Nehru University, New Delhi
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