W3C home > Mailing lists > Public > www-rdf-interest@w3.org > August 2003

Re: Bayesian classification and the semantic web

From: Sampo Syreeni <decoy@iki.fi>
Date: Fri, 1 Aug 2003 11:45:27 +0300 (EEST)
To: "Judson, Ross" <rjudson@managedobjects.com>
cc: www-rdf-interest@w3.org
Message-ID: <Pine.SOL.4.51.0308011139560.13325@kruuna.Helsinki.FI>

On 2003-07-31, Judson, Ross uttered:

>Now imagine that someone builds a big corpus of URIs, and starts to
>categorize them. Someone like, say, Google, or DMOZ.

Interesting. Suppose you use the pages in ODP categories to train your
classifier (Bayesian or not), then run it over Google's cache. That'd help
Google directly, because topic clusterings ought to make good related
pages listings after being prioritized by PageRank and what else Google
now uses. They just might run with something like that, especially since
properly constructed Bayesian classifiers can be trained in linear time,
and incrementally. The results could be exposed as triples grafted onto
the ODP hierarchy.
-- 
Sampo Syreeni, aka decoy - mailto:decoy@iki.fi, tel:+358-50-5756111
student/math+cs/helsinki university, http://www.iki.fi/~decoy/front
openpgp: 050985C2/025E D175 ABE5 027C 9494 EEB0 E090 8BA9 0509 85C2
Received on Friday, 1 August 2003 04:45:31 GMT

This archive was generated by hypermail 2.2.0+W3C-0.50 : Monday, 7 December 2009 10:52:01 GMT