2012 ANewChallengeofInformationProce

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In web era, we are confronted with a huge amount of raw data and a tremendous change of man-machine interaction modes. We have to deal with the content (semantics) of data rather than their form alone. Traditional information processing approaches face a new challenge since they cannot deal with the semantic meaning or content of information. But humans can handle such a problem easily. So it's needed a new information processing strategy that correlated with the content of information by learning some mechanisms from human beings. Therefore, we need (1) a set of robust detectors for detecting semantically meaningful features such as boundaries, shapes, etc. in images, words, sentences, etc. in text, and (2) a set of methods that can effectively analyze and exploit the information structures that encode the content of information. During the past 40 years the probability theory has made a great progress. It has provided a set of mathematical tools for representing and analyzing information structures. In the talk we will discuss what difficulty we face, what we can do, and how we should do in the content-based information processing.

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2012 ANewChallengeofInformationProceBo ZhangA New Challenge of Information Processing under the 21st Century10.1145/2339530.23395682012