I was about to answer in some detail when I remembered we need to fill a postdoc position on this very subject. So if you want to work on the future of the e-Science, see http://www.postdocjobs.com/jobs/304718.html or my next email. I'll vote for science domain-specific web searching and related clique building systems (which may span various AI techniques like text mining and graph theory) as the most important applications of AI to e-science in the near future. A lot of work on this has already taken place, but I think that these sorts of applications are on the verge of being ubiquitous. Marlon David De Roure wrote:
A question to start the new year...
Quite often when we talk about Semantic Grid we observe that in practice a little bit of semantics goes a long way - the real Semantic Grid deployments haven't made extensive use of advanced techniques. Also some of our predicted areas haven't taken off as we expected 5 years ago - like agents and e-Science.
It's easy to see where we are now. But where are we going in this respect...I'd like to ask one simple question and get the views of people on the list:
Which techniques from AI will we be using in e-Science in the future - and when?
What do you think...agents? Reasoning (where?), planning, knowledge acquisition, machine learning, etc etc...? Robots?
Happy New Year! :-)
-- Dave
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