'Semantic Supercomputing' Quickly Scours the World's Patent Databases for Competitive Advantage

WALTHAM, MA, May 20 (MARKET WIRE) --
Vienna-based Matrixware Information Services is using Interactive
Supercomputing,
Inc.'s (ISC) Star-P(R) software to tackle the ever-growing challenge of finding
patent information hidden in the world's vast patent databases and libraries.

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(R), a popular 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
intovaluable 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."

About Matrixware Information Services

The Vienna, Austria-based company Matrixware Information Services GmbH was
founded in 2005 and is active in the field of patent retrieval, a subarea of
information retrieval (IR). IR falls under the heading of information science
and
informatics and uses computer-assisted methods to conduct content-based
information searches.

About Interactive Supercomputing

Interactive Supercomputing (ISC) launched in 2004 to commercialize Star-P,
an
interactive parallel computing platform. With automatic parallelization and
interactive
execution of existing desktop simulation applications, Star-P merges two
previously
distinct environments -- desktop computers and high performance servers --
into one. Based in Waltham, Mass., the privately held company markets Star-P
for a range of biomedical, financial, and government laboratory research
applications.

Contact:
Michelle Dillon
Beaupre & Co. Public Relations
603-559-5835
Email Contact

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