Claimed new features include Web 3.0 compliance, a host of linguistic enhancements and a suite of management tools to allow even greater flexibility and control of semantic metadata. All of the features are designed to provide the most relevant content to enhance the user experience – thereby driving productivity gains, readers' stickiness, and brand loyalty. The release will be available for customers in the Fall. To learn more on TME 5, visit www.nstein.com/tme5
“TME 5 delivers next-generation capabilities that allow large information providers to organize, share and discover information,” explained Jean-Michel Texier, CTO of Nstein. “More than ever we are finding our clients needing to rapidly innovate, test and deploy new business strategies. TME 5 gives them unprecedented flexibility and control to support any business model, and to reap highest premium ad rates possible through the micro-segmentation that TME allows.”
Now in its 5th generation, says Nstein, the new release is RESTful, respects W3C standards (w3.org) and is fully Web 3.0 ready to support the newest iteration of the Internet – the Semantic Web.TME 5 includes a number of new linguistic tools aimed at managing the metadata, the lifeline to the Semantic Web. TME 5.0 will provide new taxonomies and ship with tens of thousands of individuals' names – pre-categorized as Politicians, Celebrities and Athletes.
TME 5 also supports faceted sentiment analysis, which tells an editor not only if an article is positive or negative – but the tone toward any given subject within the story. Because of the vast amounts of metadata that can now be collected and stored, TME 5 will also offer a suite of five administration modules to more easily manage the different components to generating metadata, namely documents, authority files, taxonomies and ontologies.
Since its inception a decade ago, TME continues to be the core intelligence driver to Nstein's DAM (Digital Asset Management) and WCM (Web Content Management) solutions. TME parses sentences identifying and extracting their grammatical elements, and uses a refined combination of semantic and computational analysis to determine the “aboutness” of any document, calculate a “linguistic DNA” and use that calculation to find other pieces of content that closely match it.
Nstein Technologies claims to be the digital solutions provider of choice for many of the world's leading media companies, including: Financial Times, Hearst Newspapers, Reed Business Information, Scripps Network, Bonnier Corporation and Transcontinental Media.
About Nstein Technologies Inc.
Nstein says: "Nstein Technologies develops and markets multilingual solutions that power digital publishing for the most prestigious newspapers, magazines, and content-driven organizations. Nstein's solutions generate new revenue opportunities and reduce operational costs by enabling the centralization, management and automated indexing of digital assets. Nstein partners with clients to design a complete online strategy for success using publishing industry best practices for the implementation of its Web Content Management, Digital Asset Management, Text Mining Engine and Picture Management Desk products."
