http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/ Understanding technology ... in both senses of the phrase Tue, 26 Jan 2010 08:35:38 -0500 http://wordpress.org/?v=2.8.4 hourly 1 http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/comment-page-1/#comment-51293 Infology.Ru » Blog Archive » Почему MapReduce так важен для хранилищ данных? Sun, 05 Oct 2008 06:59:23 +0000 http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/#comment-51293 [...] и используют сверхразреженные таблицы. И хотя полное извлечение фактов из текста в плоские таблицы работает хорошо, переход от него к практичным, [...] [...] и используют сверхразреженные таблицы. И хотя полное извлечение фактов из текста в плоские таблицы работает хорошо, переход от него к практичным, [...]

]]> http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/comment-page-1/#comment-48976 Why MapReduce matters to SQL data warehousing | DBMS2 -- DataBase Management System Services Tue, 26 Aug 2008 06:12:59 +0000 http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/#comment-48976 [...] Data mining can involve very high-dimensional problems with super-sparse tables. And while exhaustive text extraction into flat tables works OK, getting from there to common-sense semantic hierarchies can be a bit of a kludge. [...] [...] Data mining can involve very high-dimensional problems with super-sparse tables. And while exhaustive text extraction into flat tables works OK, getting from there to common-sense semantic hierarchies can be a bit of a kludge. [...]

]]> http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/comment-page-1/#comment-22416 Text Technologies»Blog Archive » The Clarabridge approach to text mining Sun, 07 Oct 2007 00:14:25 +0000 http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/#comment-22416 [...] Attensity, which uses a simple normalized relational schema, Clarabridge dumps the extracted data into a star schema. (The Clarabridge folks are from [...] [...] Attensity, which uses a simple normalized relational schema, Clarabridge dumps the extracted data into a star schema. (The Clarabridge folks are from [...]

]]> http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/comment-page-1/#comment-22236 Text Technologies»Blog Archive » When to use exhaustive extraction Sat, 06 Oct 2007 00:54:54 +0000 http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/#comment-22236 [...] with both Clarabridge and Attensity this week. Since they’re the two big proponents of exhaustive extraction, I naturally asked whether there are any cases exhaustive extraction should not be used. In [...] [...] with both Clarabridge and Attensity this week. Since they’re the two big proponents of exhaustive extraction, I naturally asked whether there are any cases exhaustive extraction should not be used. In [...]

]]> http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/comment-page-1/#comment-6658 Text Technologies»Blog Archive » TEMIS, part 1 – overview Wed, 04 Apr 2007 19:18:07 +0000 http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/#comment-6658 [...] Attensity FRN (fact-relationship network) [...] [...] Attensity FRN (fact-relationship network) [...]

]]> http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/comment-page-1/#comment-6137 Text Technologies»Blog Archive » Clarabridge takes on Attensity Tue, 27 Mar 2007 00:36:41 +0000 http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/#comment-6137 [...] The closest analogy to what Clarabridge does is Attensity’s new(ish) strategy – extract “facts” from documents and dump them into a relational database management system. In particular, Clarabridge and Attensity alike make the case “Our categorization is more flexible because it’s applied only after the extraction happens.” [...] [...] The closest analogy to what Clarabridge does is Attensity’s new(ish) strategy – extract “facts” from documents and dump them into a relational database management system. In particular, Clarabridge and Attensity alike make the case “Our categorization is more flexible because it’s applied only after the extraction happens.” [...]

]]> http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/comment-page-1/#comment-1656 Text Technologies»Blog Archive » More on Attensity Thu, 27 Jul 2006 09:37:03 +0000 http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/#comment-1656 [...] They want to be positioned in the BI space, e.g. as “ETL for text/unstructured data.” They place a lot of value on their partnership with Business Objects and Teradata. And, as a key part of the exhaustive extraction/FRN story, they think that BI/data warehouse information roll-up tools are an excellent (if imperfect) substitute for hardcore semantic extraction. [...] [...] They want to be positioned in the BI space, e.g. as “ETL for text/unstructured data.” They place a lot of value on their partnership with Business Objects and Teradata. And, as a key part of the exhaustive extraction/FRN story, they think that BI/data warehouse information roll-up tools are an excellent (if imperfect) substitute for hardcore semantic extraction. [...]

]]> http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/comment-page-1/#comment-1639 Text Technologies»Blog Archive » Pioneers moving on Thu, 27 Jul 2006 01:44:28 +0000 http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/#comment-1639 [...] Ramana Rao is leaving Inxight, or has by now. Today I also discovered that Todd Wakefield is leaving Attensity. Such things happen in all industries, of course. • • • [...] [...] Ramana Rao is leaving Inxight, or has by now. Today I also discovered that Todd Wakefield is leaving Attensity. Such things happen in all industries, of course. • • • [...]

]]> http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/comment-page-1/#comment-1552 Text Technologies»Blog Archive » Introduction to ClearForest Sun, 23 Jul 2006 11:04:55 +0000 http://www.texttechnologies.com/2006/06/24/attensity-extractive-exhaustion-and-the-frn/#comment-1552 [...] ClearForest is one of the two companies whose name comes up for fact extraction applications, probably even a little ahead of Attensity. Their flagship account is the GM deal they did with IBM, kicking off the whole warranty report mining boom. Procter & Gamble is no slouch of a customer either. They’re involved enough in anti-terrorism that, when I asked Jay if he knew who Cogito was, he said “Of course.” And apparently one of their techie founders is the guy who coined the term “text mining” in the first place. [...] [...] ClearForest is one of the two companies whose name comes up for fact extraction applications, probably even a little ahead of Attensity. Their flagship account is the GM deal they did with IBM, kicking off the whole warranty report mining boom. Procter & Gamble is no slouch of a customer either. They’re involved enough in anti-terrorism that, when I asked Jay if he knew who Cogito was, he said “Of course.” And apparently one of their techie founders is the guy who coined the term “text mining” in the first place. [...]

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