Mayo Clinic to Pilot Collexis’ Expert Profiling

September 6, 2007

Columbia, SC, September 6, 2007 – Collexis, leading developer of knowledge management (KM) and discovery software, has reached an agreement to launch its Expert Profiles System as a pilot project in collaboration with Mayo Clinic Libraries. 

It joins the ranks of distinguished Collexis clients including Johns Hopkins University, the University of California, San Francisco, the University of South Carolina, Merck & Co., Inc., Bristol-Myers Squibb, Lockheed Martin, the World Health Organization, the National Institutes of Health and the US Department of Defense.

J. Michael Homan, Director, Mayo Clinic Libraries, explained, “The ability of Collexis technology to review, retrieve and display knowledge concepts is simply not possible with standard relational or bibliographic database systems, and therefore holds great promise for database discovery that goes well beyond current methods.  Collexis will provide a means to mine hidden knowledge in existing databases and documents.  It also has the capability to bridge the gap not only between the patient-based clinical information systems (EMR) and the information in knowledge-based systems familiar to research libraries, but also often in their own silos.”

The Collexis software creates profiles of text, for example, peer-reviewed literature, web pages, internal documents, e-mails, speech transcripts and grants.  These profiles represent the key ideas or concepts in those texts and are presented in a format known as the Collexis Fingerprint.  This enables data mining at a level that is much deeper and far more robust than traditional keyword searching.  The resulting conceptual search system will provide the Mayo Clinic Libraries with a unique virtual knowledge directory.

Mr. Homan continued, “We are pleased to be able to offer the benefits of this innovative technology – to provide our researchers with tools that support discovery and collaboration, and contribute to improving patient care.” 

Bill Kirkland, Collexis CEO, commented, “For more than 100 years the Mayo Clinic Libraries has been dedicated to meeting the information needs of its community.  It is therefore particularly gratifying to work in partnership with this prestigious institution as it moves towards knowledge discovery tools that utilize the power of semantic technology to find, share and integrate information more easily and  effectively.”

During the first phase of the Expert Profiles System proof of concept pilot, 10 years of publications authored by 250 of the more than 3,000 Mayo Clinic researchers and clinicians will be “fingerprinted.”  This semantic profiling process makes use of the structure of a particular field’s professional terminology (fundamentally a thesaurus) and embodies the way people understand those terms and concepts.  It minimizes superfluous information and allows users to mine data at an intuitive, non-language-specific level.  The data extracted will help identify domain experts in specific biomedical disciplines.

The Mayo Clinic Libraries has also opted to utilize Mediator™, a SyynX application powered by Collexis.  This intuitive software will enable users to search more than 16 million citations and abstracts in the life sciences and clinical medicine utilizing the Collexis Fingerprint and its patented semantic analysis.

The Expert Profiler System project is being carried out in concert with German-based Collexis Development Partner, SyynX Solutions. 

 

Collexis Holdings, Inc.

Collexis Holdings, Inc., a global knowledge discovery company since 1999, is headquartered in Columbia, South Carolina (USA) with two subsidiaries; Collexis Inc. in Columbia, South Carolina, USA and Collexis, B.V. in Geldermalsen, The Netherlands.  Collexis patented technology builds conceptual profiles of text, called Fingerprints, from documents, websites, e-mails and other digitized content and matches them with a comprehensive list of pre-defined “fingerprinted” concepts to make research results more relevant and efficient.  This matching of concepts eliminates the ambiguity and lack of priority associated with word searches.  The results are often described as ”finding needles in many haystacks.”  Through this novel approach, Collexis can build unique applications to search, index, and aggregate information as well as prioritize, trend and predict data based on sources in multiple industries without the limitations of language or dialect.  Representative clients include the NIH, Johns Hopkins, Harvard and the University of South Carolina to name a few.  Collexis shares of common stock are traded under the symbol CLXS on the OTC Bulletin Board (OTC BB).  For more information visit www.collexis.com.

 

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