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    Autonomy Retools Search Engine to Work in Databases

    Written by

    Chris Preimesberger
    Published September 16, 2009
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      Enterprise search provider Autonomy on Sept. 16 announced it has reconfigured its frontline product, the IDOL Structured Probabilistic Engine (SPE), to bring its context-based search capabilities to work in databases.

      The company, which made news in January 2009 when it acquired content management provider Interwoven for $775 million, built its reputation in the market by providing query-driven software that is able to locate specific unstructured data in file systems. As a result, Autonomy services more than 20,000 customers in a wide range of business applications.
      Autonomy now is applying its same technologies to the $18 billion database market by turning legacy RDBMSs (relational database management systems) into next-generation probabilistic inference engines that can understand “shades of gray,” CEO Mike Lynch told eWEEK.
      IDOL SPE can automatically make connections in the data that a typical search engine cannot, Lynch said. It can analyze interactions, usage and multiple data sets to spot patterns in structured data and make non-obvious predictions, he said.
      “This inference-based search engine really acts more like a human being would act on a query,” Lynch said. “A common problem is that of ‘matches.’
      “A simple example would be: Let’s say you want to find a flight from New York to San Francisco at a certain day and certain price, and the database comes back with no matches. That’s because it’s done the matching process but can’t find any. What this new technology does is act much more like a travel agent, because of their experience with the data. It will come back and say, ‘Well, we can’t find New York to San Francisco, but how about New York to Oakland?”
      Using advanced probabilistic algorithms, Autonomy’s software represents a radical shift in the intelligence businesses can gain from information, because it has the ability to understand the meaning in the data in between the lines, Lynch said.
      “Autonomy was built on one fundamental technology, IDOL, that brought meaning to human friendly information,” Lynch said. “IDOL SPE is our second fundamental technology and ushers the database market into the era of meaning-based computing. Organizations are now able to free data from rigid structures to deliver relevance and understanding that can impact literally every type of computing application.”
      Autonomy’s IDOL SPE is available now in limited release as a standalone product or as an add-on accelerator to existing database applications. Go here for more information.

      Chris Preimesberger
      Chris Preimesberger
      https://www.eweek.com/author/cpreimesberger/
      Chris J. Preimesberger is Editor Emeritus of eWEEK. In his 16 years and more than 5,000 articles at eWEEK, he distinguished himself in reporting and analysis of the business use of new-gen IT in a variety of sectors, including cloud computing, data center systems, storage, edge systems, security and others. In February 2017 and September 2018, Chris was named among the 250 most influential business journalists in the world (https://richtopia.com/inspirational-people/top-250-business-journalists/) by Richtopia, a UK research firm that used analytics to compile the ranking. He has won several national and regional awards for his work, including a 2011 Folio Award for a profile (https://www.eweek.com/cloud/marc-benioff-trend-seer-and-business-socialist/) of Salesforce founder/CEO Marc Benioff--the only time he has entered the competition. Previously, Chris was a founding editor of both IT Manager's Journal and DevX.com and was managing editor of Software Development magazine. He has been a stringer for the Associated Press since 1983 and resides in Silicon Valley.
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