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From "Glen Newton" <glen.new...@gmail.com>
Subject Re: Link map over results? or term freq
Date Thu, 16 Oct 2008 21:37:48 GMT
Yes, tag clouds.

I've implemented them using Lucene here for NRC Research Press articles:
http://lab.cisti-icist.nrc-cnrc.gc.ca/ungava/Search?tagCloud=true&collection=jos&tagField=keyword&keyword=%22chromatin%22&numCloudDocs=200&numCloudTags=50&sortBy=relevance

and here on the Colorado State University Libraries' Catalog:
http://lab.cisti-icist.nrc-cnrc.gc.ca/ungava01/Search?tagCloud=true&collection=csu&tagField=keyword&title=cell&numCloudDocs=200&numCloudTags=50&sortBy=relevance

As I use them for query refinement (click on the term & it is appended
to your existing query & you get new results), I call them "drill
clouds": http://lab.cisti-icist.nrc-cnrc.gc.ca/cistilabswiki/index.php/Drill_Clouds#Drill_Clouds

-glen

2008/10/16 Darren Govoni <darren@ontrenet.com>:
> I guess a link map (as I understand it) is a collection of hyperlinks of
> words/phrases where the dominant ones are bolder color and larger font.
> Its relatively new schema, some sites are using.
>
> For example, someone searches for a person and a link map would show
> them all the most frequent terms in the results they got back. Sort of
> like latent relationships.
>
> Does that help?
>
> I thought this could be done using term frequency vectors in Lucene, but
> I've never used TFV's before. And can then be limited to just a set of
> results.
>
> HTH,
> Darren
>
> On Thu, 2008-10-16 at 14:09 -0400, Glen Newton wrote:
>> Sorry, could you explain what you mean by a "link map over lucene results"?
>>
>> thanks,
>> -glen
>>
>> 2008/10/16 Darren Govoni <darren@ontrenet.com>:
>> > Hi,
>> >  Has anyone created a link map over lucene results or know of a link
>> > describing the process? If not, I would like to build one to contribute.
>> >
>> > Also, I read about term frequencies in the book, but wanted to know if I
>> > can extract the strongest occurring terms from a given result set or
>> > result?
>> >
>> > thank you for any help. I will keep reading/looking.
>> >
>> > Darren
>> >
>> >
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>> >
>>
>>
>>
>
>
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