It's easy to get lost in the piles of digital data that accumulate over the years. For businesses looking to better manage troves of data stored in content repositories, Teragram
comes to the rescue. A business software provider of linguistic, knowledge information and text processing technologies and services, Teragram has announced the launch of their 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 aims to help corporate librarians maintain ontologies and integrate information directly with Teragram’s TK240 taxonomy management
tool, which organizes information, documents and websites with a browsable hierarchical directory.
Used together, these programs allow knowledge workers to maintain metadata across repositories and databases and automatically tag documents according to defined taxonomies.
STM v. 2.0 can also be used to maintain information in different enterprise authority lists and build relationships between them. A corporate librarian, for example, might manage relationships between terms in the sales lead database (i.e. primary contacts, companies and locations) and cross-reference these with a list of internal salespeople and their territories with relative ease.
STM v. 2.0 also creates a uniform, wiki
-style approach to tagging content across different divisions in a large company. A pharmaceutical development lab maintaining a database of drugs, diseases and side effects could let other research scientists log in to make changes to the database.
The ability for employees to update information collectively in real time has been used to great effect through the wiki, but unlike a typical wiki, an administrator can approve or reject these changes.
The real magic happens when STM v. 2.0 is coupled with Teragram’s TK240 taxonomy management program. STM v. 2.0 can export information stored in its system to TK240, building complex taxonomies which can be used to automatically categorize documents and extract entities and events from documents.
A publishing company wishing to create dynamic topic pages on a website would be able to use STM v. 2.0 to maintain a database of terms that relate to general information about a company, such as it’s ticker symbol, location, or CEO.
TK240 could actively add hyperlinks to company names mentioned in documents as they pass through the content management system. Working in concert, these programs maintain both the static and dynamic content of the page.
Interested in making STM v. 2.0 or TK240 work for your organization? Visit the Teragram website
for more information.