Teragram, a division of SAS and a provider of multilingual natural language processing technologies, announced the launch of Semantic Term Manager v. 3.0 (STM v. 3.0), software that helps knowledge workers to better classify, organize and manage mission-critical information and maintain ontologies in large enterprise content repositories and databases. Featuring tighter integration with Teragram's taxonomy management product, TK240, STM v. 3.0 enables knowledge workers to automatically tag documents according to defined taxonomies, manage vast amounts of metadata across repositories and databases, and create and manage enterprise authority lists and build relationships between them. This, in turn, simplifies the enterprise search and retrieval process. This enhanced version of STM can now handle more than one hierarchy by integrating across several large data sets. For example, a corporate librarian can generate lists such as company names, product offerings and subsidiary relationships with TK240 to manage them as standalone data files or combine this information while researching other scenarios or performing targeted searches. STM v. 3.0 offers versioning capability that allows users to save different versions of the data they administer, and allows them to also go back and work on it after it has been saved. STM v. 3.0 also provides tailored ontology support, which means that data files can now be incrementally exported to XML and imported internally across the enterprise. http://www.teragram.com/
Teragram Announces Semantic Term Manager Version 3.0
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