Comments on: Introduction to Cogito http://www.dbms2.com/2006/05/22/introduction-to-cogito/ Choices in data management and analysis Fri, 25 Jul 2008 01:40:12 +0000 http://wordpress.org/?v=2.5.1 By: Patrick Herron http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-14290 Patrick Herron Sat, 11 Nov 2006 02:32:41 +0000 http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-14290 I just finished writing my master's thesis which is in part about how a text mining application without relationship mining is not really text mining but rather just information extraction. Machine learning applied to text, such as classification or clustering-type tasks, is precisely relationship mining. Cogito sounds very interesting. Their applications look like they do a good job of representing the relationships to users and recommending useful relationship types as well. Cogito as a company also looks to be competing for a role as a part of Big Brother's brain. Opportunity knocks, I guess. I just finished writing my master’s thesis which is in part about how a text mining application without relationship mining is not really text mining but rather just information extraction. Machine learning applied to text, such as classification or clustering-type tasks, is precisely relationship mining.

Cogito sounds very interesting. Their applications look like they do a good job of representing the relationships to users and recommending useful relationship types as well. Cogito as a company also looks to be competing for a role as a part of Big Brother’s brain. Opportunity knocks, I guess.

]]> By: DBMS2 — DataBase Management System Services»Blog Archive » Data warehouse and mart uses – a tentative taxonomy http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-7343 DBMS2 — DataBase Management System Services»Blog Archive » Data warehouse and mart uses – a tentative taxonomy Sun, 24 Sep 2006 05:29:44 +0000 http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-7343 [...] But actually – that wasn’t the final category. While we’ve pretty much covered relational and other tabular warehousing, there’s also the whole huge category of text and media search. An enterprise text index is, in its own way, a data warehouse. And then there are a variety of specialty categories, such as relationship analytics. [...] [...] But actually – that wasn’t the final category. While we’ve pretty much covered relational and other tabular warehousing, there’s also the whole huge category of text and media search. An enterprise text index is, in its own way, a data warehouse. And then there are a variety of specialty categories, such as relationship analytics. [...]

]]> By: Text Technologies»Blog Archive » Relationship analytics — turbocharge for text mining? http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-2349 Text Technologies»Blog Archive » Relationship analytics — turbocharge for text mining? Sun, 25 Jun 2006 07:30:28 +0000 http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-2349 [...] Relationship analytics, which is a new phrase meaning “data management and analysis tools optimized for handling complex relationships” Here a complex relationship is one that, if represented in a relationship graph, would have pathlength a lot more than 1 or 2. [...] [...] Relationship analytics, which is a new phrase meaning “data management and analysis tools optimized for handling complex relationships” Here a complex relationship is one that, if represented in a relationship graph, would have pathlength a lot more than 1 or 2. [...]

]]> By: Curt Monash http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-1635 Curt Monash Thu, 25 May 2006 02:24:32 +0000 http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-1635 Hi Rob! To answer part of that, I'd say that NLP (Natural Language Processing) is more applicable to other kinds of things. I think it shines for command/control, in what I think has been a missed industry opportunity for 20 years (I loved Lotus HAL, but am obviously one of the few people who did). CAM Hi Rob!

To answer part of that, I’d say that NLP (Natural Language Processing) is more applicable to other kinds of things. I think it shines for command/control, in what I think has been a missed industry opportunity for 20 years (I loved Lotus HAL, but am obviously one of the few people who did).

CAM

]]> By: rob finn http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-1632 rob finn Wed, 24 May 2006 19:50:52 +0000 http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-1632 Hi Curt, this is a very interesting company. I think a large application of this would be for collection agencies. Cogito customers might need to pull in external data as well, and perhaps Cogito could partner with the appropriate data providers to make an easier discovery of the needed data repositories. I am curious if Cogito should market themselves as enterprise fuzzy search versus a visualization pitch. Karen Stephenson of Netform might provide some key insights into the visualization pitch. I would be interested to hear your comparison of Cigito versus other approaches: semantic or NPL approaches - example being Semagix, Visible Path is another company and its pitch seems more compatible with non technical users. There also seems to be potential partnership with data abstraction companies such as Pantero,Composite or meta mgmt companies like Revelytx? Hi Curt, this is a very interesting company. I think a large application of this would be for collection agencies. Cogito customers might need to pull in external data as well, and perhaps Cogito could partner with the appropriate data providers to make an easier discovery of the needed data repositories. I am curious if Cogito should market themselves as enterprise fuzzy search versus a visualization pitch. Karen Stephenson of Netform might provide some key insights into the visualization pitch. I would be interested to hear your comparison of Cigito versus other approaches: semantic or NPL approaches - example being Semagix, Visible Path is another company and its pitch seems more compatible with non technical users. There also seems to be potential partnership with data abstraction companies such as Pantero,Composite or meta mgmt companies like Revelytx?

]]> By: William Donahoo http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-1597 William Donahoo Tue, 23 May 2006 15:40:06 +0000 http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-1597 Note my second link was incorrect. for the benchmark whitepaper please use this link. http://www.cogitoinc.com/white_paper.php?file=whitepaper_sixdegrees.pdf Note my second link was incorrect.

for the benchmark whitepaper please use this link.

http://www.cogitoinc.com/white_paper.php?file=whitepaper_sixdegrees.pdf

]]> By: William Donahoo http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-1589 William Donahoo Mon, 22 May 2006 23:16:16 +0000 http://www.dbms2.com/2006/05/22/introduction-to-cogito/#comment-1589 Thanks for the mention Curt. We have a number of relevant white papers and information on our site, www.cogitoinc.com. I would recommend two specific ones that are useful: The first one is on Relationship Analytics and defines what our product Knowledge Center is all about: http://www.cogitoinc.com/white_paper.php?file=whitepaper_GBRA.pdf The second is a benchmark on how our solution compares to a RDBMS when trying to find the six degrees of Kevin Bacon using the IMDB data. It is a good comparison for a person that understands the limitations of RDBMS and appreciates a faster way to find how one element might be related to another element. http://www.cogitoinc.com/white_paper.php?file=whitepaper_GBRA.pdf Find out more on our website or use our link there to request a private demo or more information. Thanks for the mention Curt.

We have a number of relevant white papers and information on our site, http://www.cogitoinc.com. I would recommend
two specific ones that are useful:

The first one is on Relationship Analytics and defines what our product Knowledge Center is all about:

http://www.cogitoinc.com/white_paper.php?file=whitepaper_GBRA.pdf

The second is a benchmark on how our solution compares to a RDBMS when trying to find the six degrees of
Kevin Bacon using the IMDB data. It is a good comparison for a person that understands the limitations of RDBMS
and appreciates a faster way to find how one element might be related to another element.

http://www.cogitoinc.com/white_paper.php?file=whitepaper_GBRA.pdf

Find out more on our website or use our link there to request a private demo or more information.

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