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[May 27, 2008]
Matrixware Information Services Uses ISC Star-P's Software to Search Patent Database, Libraries
(Wireless News Via Acquire Media NewsEdge)
Vienna-based Matrixware Information Services is using Interactive
Supercomputing's (ISC) Star-P software to tackle the challenge of
finding patent information hidden in the world's patent databases and
libraries, the groups reported.
The Austrian company employs a team of computer engineers,
mathematicians, linguists and patent specialists to help companies mine
patent repositories for intellectual property information. It combines
natural language processing (NLP) algorithms with what it calls
semantic supercomputing to retrieve relevant patent information faster,
easier and at less cost.
Patents and intellectual property play an increasingly important role
as intangible assets of industrial corporations. Some 60 million
patents have been awarded around the world, and the yearly number of
new filings is on the rise. Over 250,000 companies worldwide depend on
patent data. Consequently, professional management of patents and
precise retrieval of patent information are essential business
processes for industries around the globe.
To solve this problem, Matrixware employs multi-core high performance
computers from SGI and Star-P's interactive parallel computing
capabilities to develop and run its NLP algorithms on the enormous,
terabyte-scale patent data sets. Star-P enables Matrixware's team to
continuously code and refine NLP algorithms on their desktops using
MATLAB , a mathematical tool, and then run them instantly and
interactively on parallel computers with little to no modification.
Star-P eliminates the need to re-program applications in C, Fortran or
MPI in order to run on parallel systems, resulting in huge productivity
gains.
Matrixware's Alexandria System is the central storage for the raw data
as well as for the enriched data. Data access is modeled along the well
established Library Science methods and embedded into a workflow
system. The Alexandria server also provides the user with exact and
constantly updated document counts in the collections he is retrieving
from.
Recursively generating metadata from data and metadata from metadata,
the various refinement processes let the information store grow and
allow the user community to actively "Cultivate the Corpus." As a
development and front end framework, Matrixware created an extensible
software infrastructure, the "Leonardo" Ecosystem. Within this
framework, technologists can simultaneously create and refine new tools
and use the community channel to communicate with their end-users. The
benefit for the end-users on the other side is a closer match between
the tools for their actual information needs and existing workflows.
"Matrixware processes patent data by its meaning in context to turn it
into valuable information for our clients. Our purpose is to boost
their productivity and open up new opportunities for them using
intellectual property information," says Francisco Webber, Matrixware's
managing director. "But while our scientists are experts in information
retrieval, they are not parallel programming experts. Star-P enables
them to tap the power of parallel HPCs to refine and run their natural
language processing applications as well as to improve the data quality
of our patent databases."
"Despite the massive growth of patent information over the last several
decades, researchers still search the way they did 30 years ago," says
David Gibson, ISC's vice president of business development.
"Matrixware's NLP technology and semantic supercomputing breakthroughs
are turning patent information retrieval into a huge competitive
advantage for companies whose success hinges on intellectual property
discovery and protection."
((Comments on this story may be sent to newsdesk@closeupmedia.com))
((Distributed on behalf of 10Meters via M2 Communications Ltd -
http://www.m2.com))
((10Meters -
http://www.10meters.com))
Copyright ? 2008 Wireless News
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