Content Management: Teragram Announces The Release Of Teragram Semantic Term Manager v. 2.0

Teragram, the leading provider of multilingual natural language processing technologies, announced recently the launch of Semantic Term Manager v. 2.0 (STM v. 2.0), software that enables management of content and maintenance of ontologies in enterprise content repositories and databases. STM v. 2.0 helps corporate librarians to maintain ontologies and integrate this information directly with Teragram's TK240 taxonomy management tool. The combination of these two programs allows knowledge workers to maintain metadata across repositories and databases and to automatically tag documents according to the defined taxonomies. These tools help to simplify the enterprise search and retrieval process.

One example use for STM v. 2.0 would be to maintain information in different authority lists in the enterprise and build relationships between them. For instance, a corporate librarian could easily manage relationships between terms in the sales lead database (i.e. primary contacts, companies and locations) and cross-reference this with a list of internal salespeople and their territories. Additionally, STM v. 2.0 creates a uniform approach to tagging content across different divisions in a large company. For example, if a pharmaceutical development lab maintains a database of drugs, diseases and side effects, several research scientists can log in to make changes to the database. An administrator approves or rejects these changes, allowing the information to be updated as it is generated by the people working in the field.

Unique to Teragram's approach is that STM v. 2.0 works in tandem with Teragram's TK240 taxonomy management program. Information stored in the STM v. 2.0 database can be exported to Teragram's database management tool, TK240, to build complex taxonomies which can be used to automatically categorize documents and to extract entities and events from documents. For example, if a publishing company wishes to create dynamic topic pages on a website, STM v. 2.0 could be used to maintain a database of terms that relate to general information about a company (e. g. ticker symbol, location, CEO). TK240 could actively add hyperlinks to company names mentioned in documents as they pass through the content management system. Working in concert, these two programs maintain both the static and dynamic content of the page.

"This new version of Semantic Term Manager represents a major step forward in helping Teragram customers classify and organize their most critical information," said Dr. Yves Schabes, president and co-founder of Teragram. "As corporate leaders increasingly seek to examine internal content repositories before making a range of important decisions, STM v. 2.0 is the tool that will provide them with order and insight instead of information overload."

About Teragram
Teragram Corporation is the market leader in mobile and multilingual natural language processing technologies that use the meaning of text to distill relevant information from vast amounts of data. Founded in 1997 by innovators in the field of computational linguistics, Teragram alone offers the speed, accuracy and global language support that customers and partners demand to retrieve and organize growing volumes of digital information. Teragram helps customers perform more efficient searches and better organize information in more than 30 languages, enabling them to reach new markets and make better decisions. Teragram serves customers across the publishing, pharmaceutical, telecommunications and financial industries, including AOL, Ariba, Ask.com, Associated Press, CNN, Factiva, EBSCO Publishing, Ebay, FAST Search & Transfer, Forbes.com, InfoSpace, NYTimes Digital, OneSource, Reed Business Information, Ricoh, Sony, Verity, WashingtonPost.com, Wolters Kluwer, the World Bank and Yahoo!. For more information, visit www.teragram.com/info.

SOURCE: Teragram Corporation