Carrot Clustering Engine

[Owen Densmore]

The Carrot Clustering Engine is getting pretty good:
   http://demo.carrot2.org/demo-stable/search?q=complex+adaptive+systems

The idea is simple: the results of standard search engines are too  
unstructured.  The Carrot project has been doing a great job of very  
fast clustering .. fast enough so that it can actually cluster the  
results of a common search.

The next big thing?

     -- Owen

Owen Densmore   http://backspaces.net

[Phil Henshaw-2]

rather good it seems...

>
> The Carrot Clustering Engine is getting pretty good:
>    
> http://demo.carrot2.org/demo-stable/search?q=complex+adaptive+systems
>
> The idea is simple: the results of standard search engines are too  
> unstructured.  The Carrot project has been doing a great job of very  
> fast clustering .. fast enough so that it can actually cluster the  
> results of a common search.
>
> The next big thing?
>
>      -- Owen
>
> Owen Densmore   http://backspaces.net
>
>
>
> ============================================================
> FRIAM Applied Complexity Group listserv
> Meets Fridays 9a-11:30 at cafe at St. John's College
> lectures, archives, unsubscribe, maps at http://www.friam.org
>
>

[Marcus G. Daniels-3]

Owen Densmore wrote:

>The next big thing?
>  
>
These programs perform statistical characterization of content, with no
logical processing of verbs or nouns nor a model of the author
intentions.  No doubt there are situations where the clustering can be
useful for making search more efficient, but, come on, it's just a
matter of time until Google overshadows such technology.

I find I have more trouble with web searches finding interesting results
at all than wading through some irrelvant or unclustered info.  I'm
happy to filter through a few pages of results if there is a payoff.  
The answers to more complex questions often aren't available in literal
form from just a simple vector of words, they require generalization,
extrapolation and careful qualification of *conceptually* related work.

Instead, imagine a computerized reader that can tell a decision maker
"this argument appears to be bogus on available evidence", or a
researcher "this paper demonstrates a novel idea".  

[George Duncan]

Try http://vivisimo.com/ for their clusty search engine.

On 12/17/06, Marcus G. Daniels <mgd at santafe.edu> wrote:

>
> Owen Densmore wrote:
>
> >The next big thing?
> >
> >
> These programs perform statistical characterization of content, with no
> logical processing of verbs or nouns nor a model of the author
> intentions.  No doubt there are situations where the clustering can be
> useful for making search more efficient, but, come on, it's just a
> matter of time until Google overshadows such technology.
>
> I find I have more trouble with web searches finding interesting results
> at all than wading through some irrelvant or unclustered info.  I'm
> happy to filter through a few pages of results if there is a payoff.
> The answers to more complex questions often aren't available in literal
> form from just a simple vector of words, they require generalization,
> extrapolation and careful qualification of *conceptually* related work.
>
> Instead, imagine a computerized reader that can tell a decision maker
> "this argument appears to be bogus on available evidence", or a
> researcher "this paper demonstrates a novel idea".
>
> ============================================================
> FRIAM Applied Complexity Group listserv
> Meets Fridays 9a-11:30 at cafe at St. John's College
> lectures, archives, unsubscribe, maps at http://www.friam.org
>

--
George T. Duncan
Professor of Statistics
Heinz School of Public Policy and Management
Carnegie Mellon University
Pittsburgh, PA 15213
[phone]
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