Issue No.03 - May/June (2006 vol.21)
Yorick Wilks , University of Sheffield
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2006.48
The key possibility the Semantic Web offers to traditional AI is delivering some of its value in a depleted form initially, by trading representational expressiveness for tractability, as some have put it. The model to follow here could be search technology and machine translation on the WWW (or even speech technology): each is available now in imperfect forms that we can't imagine living without.This article is part of a special issue on the Future of AI.
Semantic Web, artificial intelligence, machine translation, connectionism, machine learning, information extraction
Yorick Wilks, "Getting Meaning into the Machine", IEEE Intelligent Systems, vol.21, no. 3, pp. 70-71, May/June 2006, doi:10.1109/MIS.2006.48