By weighting compound terms, or multi-word phrases, instead of the typical single words, or words in proximity, the retrieval experience for the University of Kansas Medical Center will be significantly more accurate and relevant than before.
McLean, VA and Stevenage, UK (PRWEB) June 26, 2012
Concept Searching, a global leader in semantic metadata generation, auto-classification, and taxonomy management software, and developer of the Smart Content Framework™, is pleased to announce that that the University of Kansas Medical Center, serving Kansas in education, research, patient care and community engagement, has selected conceptSearch and conceptClassifier to improve findability, records management and classification of content, in order to achieve more effective management of unstructured knowledge for its clients.
The University of Kansas Medical Center evaluated technology for content discovery within its curriculum, and chose Concept Searching’s Smart Content Framework™ to perform metadata tagging, auto-classification and search across the University of Kansas Medical Center and its component schools, which include undergraduate and graduate degree programs in the School for Allied Health Services, the School of Medicine, and the School of Nursing.
“We welcome the University of Kansas Medical Center to our growing list of healthcare clients,” commented Martin Garland, President of Concept Searching, “With the University of Kansas Medical Center, Concept Searching continues to show our platform is an important component for federal, DoD and Education Healthcare establishments.”
conceptSearch, with its unique, language based technology and its ability to deliver both high precision and high recall, is particularly important for organizations that need sophisticated search and retrieval solutions.
conceptClassifier is a leading-edge rules-based categorization module providing clients with complete control of rules-based descriptors unique to their organization. It provides an easy to implement and maintain categorization descriptor table, through which all rules and terms can be defined and managed. This approach eliminates the error prone results of 'training' algorithms typically found in other text retrieval solutions.
“By weighting compound terms, or multi-word phrases, instead of the typical single words, or words in proximity, the retrieval experience for the University of Kansas Medical Center will be significantly more accurate and relevant than before,” concluded Garland.
Going beyond a technology solution, Concept Searching’s Smart Content Framework™ for information governance is a platform independent toolset that provides the enterprise framework to mitigate risk, automate processes, manage information, protect privacy, and address compliance issues.
Underlying the Smart Content Framework™, the technologies provide the ability to transparently tag content, classify it to organizational taxonomies, preserve and protect information through the automatic identification of records and privacy data, and act as a migration tool. The result is one set of technologies that improves search, provides an enterprise metadata repository, automates records management, ensures compliance, protects and secures data, and facilitates migration.
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About Concept Searching
Founded in 2002, Concept Searching provides software products that deliver conceptual metadata generation, auto-classification, and powerful taxonomy management from the desktop to the enterprise. Concept Searching, developer of the Smart Content Framework™, provides organizations with a method to mitigate risk, automate processes, manage information, protect privacy, and address compliance issues. This information governance framework utilizes a set of technologies that encompasses the entire portfolio of information assets, resulting in increased organizational performance and agility.
Concept Searching is the only platform independent statistical metadata generation and classification software company in the world that uses concept extraction and compound term processing to significantly improve access to unstructured information. The Concept Searching Microsoft suite of technologies runs natively in SharePoint 2010, FAST, Windows Server 2008 R2 FCI, and in Microsoft Office applications.
The building blocks of Concept Searching’s Smart Content Framework™ are being used by organizations from a diverse number of industries including the US Army, the US Air Force, the UK MOD, Baker Hughes, Deloitte, Logica, NASA Safety Center, OppenheimerFunds, Point B, Perkins+Will, Parsons Brinckerhoff, Burns & McDonnell, MarketResearch.com, the US Department of Health & Human Services, Transport for London, the London Fire Brigade, the National Transportation Safety Board, and Xerox.
Headquartered in the US with offices in the UK, South Africa and Canada, Concept Searching solves the problem of finding, organizing, and managing information capital far beyond search and retrieval. The technologies are being used to drive intelligent migration, enable effective records management, identify and lock down sensitive information and enhance governance. For more information about Concept Searching’s solutions and technologies please visit http://www.conceptsearching.com
About the University of Kansas Medical Center
The University of Kansas Medical Center serves Kansas through excellence in education, research, patient care and community engagement: it strives to educate exceptional health care professionals through a full range of undergraduate, graduate, professional, postdoctoral and continuing education program; it actively seeks to advance the health sciences through world-class research programs; it has a long-standing reputation for compassionate and state-of-the-art patient care in an academic medical center environment; and it works with communities in every Kansas county to improve the health of Kansans.
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