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uKnowledge discovery in the web: potential, automation and limitsv
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Prof. Stefan Rueger i The Knowledge Media Institute, The Open University, UK j
The talk reflects on the value and potential of social networks,
interlinked data, semantic web and data-mining. At the same time I would
like to elicit new research directions, which are only enabled by the
sheer mass of data, sensors, facts, reports, opinions and inter-linkage of
people.
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‰pŒê @The seminar will be presented in English.
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Date
May 9, 2012 (Wed.) 4:00 - 5:00 pm
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Venue
Lecture room 1 on the 3rd floor of Union of Library and Information-media Studios (ULIS) in Kasuga Area, Tsukuba Campus
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There are a number of information requests that traditional web
services can cover well: best route from A to B, opening times of theatre
plays, book reviews given a snapshot of a book cover, extensive and
competent wikipedia articles on virtually every aspect of our lives. We
can hardly imagine a world that does not offer these web services, which
have complemented traditional methods of resource discovery, say, in
libraries.
It is quite possible that automated processing of excessive amounts of
data paired with new methods of semantic web, information retrieval, human
information interaction, social networks, and cloud computing opens up
novel and unprecedented areas of knowledge discovery: What are the
prospects of wikiversities? Will search and inference engines built at
TrueKnowledge and Wolfram Alpha be in a position to answer all complex
questions that have factual answers? Will automated mechanisms or social
network activity be able to answer questions for the scientific evidence
for global warming? What can we learn by computers being able to read 1
million books? Or watch the news of thousands of television channels in
100 countries for that matter?
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–³—¿CŽQ‰Á\ž•s—v There is no charge to participate and no reservation is needed.