Cambridge, MA (PRWEB) February 03, 2014–Cambridge Semantics, the leading provider of Unified Information Access (UIA) solutions for enterprises, today announced it has incorporated the Rosette® platform from Basis Technology to provide its global customers with multilingual entity extraction in 16 languages, with more to come.
Rosette enables cross-lingual name matching and entity extraction — such as people, places and organizations — to provide a more robust framework for establishing the importance of content, and the relationship between disparate pieces of data.
Cambridge Semantics selected Basis Technology to help its multi-national pharma and financial customers extract valuable business terms and entities from “Big Text” (large volumes of unstructured content) in multiple languages through its award-winning Anzo software suite. In pharma, data such as organization names, job titles, nationalities and dates can be better extracted in support of competitive intelligence while in the financial industry, monetary amounts, personal ID numbers, name variations, locations can be better extracted for use in financial forensic investigations.
Anzo addresses a variety of enterprise data management and end-user data consumption challenges, from risk analysis to fraud surveillance, financial compliance to competitive intelligence. Based on semantic technology, Anzo enables enterprise customers to rapidly discover, understand, combine and act on data from diverse sources both from within and across organizational boundaries.
About Cambridge Semantics
Cambridge Semantics provides the award-winning Anzo software suite, an open platform for building interactive Unified Information Access (UIA) solutions. Enterprises face an increasing need to rapidly discover, understand, combine, and act on data from diverse sources both from within and across organizational boundaries. Anzo makes it easy for both IT and end users to deal with this need by rapidly creating solutions that leverage unified access to structured and unstructured data from varied sources in the context of specific business problems.
Cambridge Semantics is privately held and based in Boston, Massachusetts. For more information visit http://www.cambridgesemantics.com or follow us on Twitter @CamSemantics.
Original Release: PR Web
Image: Courtesy Cambridge Semantics