Classification in fact is an field of Artificial intelligence, more specific a Natural Language Process sing. More than the current, buzz about "Semantic Web", the field has had advanced considerably during the last 3 - 5 years period, because an improvement on various techniques.
As Tim has indicated, IBM has been always on top of this research involving NLP. This past week was announced how their voice recognition software does not need user training a breakthrough for this type of commercial applications. I am very interested in the NLP area. I consider Tim's idea a very current and important one. Given the incredible amount of scientific information on the web, and the amount that is inputted constantly, the problem of classification and retrieval of this information seems vital. Having smart systems that can search for this information, classify and stored them, will be right there with the idea of literate papers that can be found and added to the system. I will be more interested in a system that can find the information and create a literate document from it. As Tim said, this kind of systems perform better when they are domain specific. Regards, A.P. On 7/29/06, root <[EMAIL PROTECTED]> wrote:
> Classification is a popular subject in AI and especially data mining, I did > not read the paper but there is a lot different technique. And having an > article in ZDnet and making a round in the blogospher is not reliable > indicator of a scientific breakthrough. I did some work on semantic classification while at IBM Research. The system was called KROPS, a combination of a rule-based programming language based on OPS and a semantic network by Eric Mays called KREP. I showed that there is a dual relationship between semantic nets and rete-network rules, a unification that allows rules to be expressed as classification and vice-versa. KREP uses a special kinds of classification called subsumption which has provable properties of the classification. You can read about subsumption here: http://www.isi.edu/isd/LOOM/papers/macgregor/aaai94.pdf KROPS (KREP/OPS) was the basis for IBM's FAME project http://www.research.ibm.com/journal/rd/363/ibmrd3603H.pdf KROPS is described in: "Integrating rules and inheritance networks in a knowledge-based financial marketing consultation system" Proc. HICCS (1988) Pages 496-500 t _______________________________________________ Axiom-developer mailing list Axiom-developer@nongnu.org http://lists.nongnu.org/mailman/listinfo/axiom-developer
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