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Fuzzy queries for structured data
2005-02-22 admin
Autonomy has acquired NCorp, a leader in structured data handling.Based upon advanced mat
hematics and pattern matching, NCorp's technology puts the database into a multidimensional space in order to enable 'fuzzy queries'; by putting differing items into a multidimensional space, comparisons can be made by calculating their similarity.
Combining Autonomy's IDOL Server with NCorp's Ijen technology produces the world's first PPSA (Parametric Probabilistic Space Analysis), a highly sophisticated parametric search capability set which relates n-dimensional structured objects to each other conceptually where no direct field match exists.
For example, take the scenario of booking a holiday online: current parametric search technologies can arrange that customers searching for skiing holidays are not shown results for Tunisia; until now, however, the only method to deal with common problems such as unavailability has been by using extensive, hand written scripts which are both time and manually intensive.
Unlike other parametric search technology,
Autonomy's PPSA automatically identifies the best matches when an exact match isn't available. For example, say a traveller was looking for a flight from San Francisco to New York costing less that $300 on Wednesday, although no exact matches exist, using its understanding of the specified data and its usage, Autonomy's PPSA can automatically identify a flight from Oakland to New York as highly suitable and relevant to the user's criteria.
NCorp's ability to identify best matches entirely automatically has had a particularly powerful application in a wide variety of situations including e-commerce, catalogs, fraud detection and many other problems dependent on structured data.
www.autonomy.com
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