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Celatro is a collection of sophisticated pattern matching and data mining
technologies designed to be quickly and easily embedded into other software
applications. The Celatro core library consists of components that cover a wide
range of data mining needs. Additional specialized plug-in components, such as
Arabic Name Search™, are also available. Celatro's pattern matching algorithms
work against both structured and unstructured
text, and are highly tuned and easy to use, so that your
application end users spend their time working with results
rather than trying to find them.
Celatro technology addresses needs common to any software application that needs
to quickly find data. Celatro's exact-match and unstructured tokenization
routines have superior performance (in some cases, over twelve times faster) to
comparable routines in other products. More impressively, Celatro offers a wide
array of techniques for finding data that is close to what you are looking for.
Known as inexact matching,
these capabilities allow Celatro to find data overlooked by other software.
Celatro's ability to identify hard-to-match data items has made possible
our success providing counter-crime and counter-terrorism capabilities
to federal and state agencies for over
18years.
Each component in Celatro has been engineered not only for optimized
performance, but also so it interacts seamlessly with the rest of the library.
As a result, Celatro components are able to leverage each other's capabilities,
and smoothly operate with one another using common interfaces and abstracted
data collections. For example, lexical data in Celatro can be processed using
alphabets, tokenizers, stemmers, phonetic similarity scorers, score
aggregators, etc., each of which can feed data to the other. These components
are available in language specific versions, e.g., English alphabets, Chinese
tokenizers, etc. Furthermore, customizable versions of each component have been
specifically developed to allow you to create behaviors specific to your needs.
This customization can even occur at
run time, allowing you to iteratively improve your pattern matching
abilities as additional knowledge is gained regarding your problem domain, or
when new data becomes available.
In addition to the core library, Celatro provides
several additional plug-in components that provide specialized behavior
for specific problem domains.
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