- From: Joshua Allen <joshuaa@microsoft.com>
- Date: Sat, 17 Dec 2005 15:07:54 -0800
- To: "Frank Manola" <fmanola@acm.org>, "Henry Story" <henry.story@bblfish.net>
- Cc: <semantic-web@w3.org>
> > I think all of this is way too pie in the sky for the semantic web. Yes > I tend to agree with your point here that a lot of what will go on the To be specific, I was talking about the sorts of real-world applications we have today, for example those machine-learning approaches which ship in the box with Oracle, SQL Server, and DB2. A specific example is the "people who bought items in your cart also liked..." Or sites which dynamically select ads based on the types of content you view or publish. Sites which recommend ringtones based on analysis of aggregate behavior of millions of users. SQL Server shipped for a number of versions with a platform for doing taxonomy-based English query. This never really caught broad adoption, and other vendors found the same. OTOH, when we started shipping machine-learning based platform pieces: Bayesian classifiers, clustering, etc. we found that these were quickly adopted in many real-world situations. Google's pagerank is another example of machine learning applied to real-world problem (collaborative filtering). You can find many approached based on machine learning in practical use. Most approaches based on static, manually maintained taxonomy, are dead.
Received on Saturday, 17 December 2005 23:08:04 UTC