Organization Implements OpenText Semantic Navigation Platform to Optimize its Content for a Personalized and Easy to Navigate Online User Experience
WATERLOO, Ontario, Oct. 21, 2014 /PRNewswire/ -- OpenText™ (NASDAQ: OTEX,TSX: OTC), the global leader in Enterprise Information Management (EIM), today announced that Karlsruhe Institute of Technology (KIT) has implemented OpenText Semantic Navigation for its more than 600 websites and 150,000 web pages. Enhancing KIT's key audiences' ability to easily find the information they need, OpenText Semantic Navigation also automates many of the manual processes to save the institute time while helping it offer a more personalized, consistent, and easy to navigate web experience.
One of the world's leading research institutions in the technology sector, the Karlsruhe Institute of Technology was founded on October 1, 2009. As part of Germany's largest scientific organization, the Hermann von Helmholtz Association, KIT makes a significant contribution to cutting-edge research, both nationally and internationally and is home to 9,000 employees and 24,000 registered students. While KIT's Steinbuch Center of Computing (SCC) has successfully operated its websites using OpenText Web Site Management system, the increase of content volume has proven challenging. Website visitors could not find the information they needed among the masses of information and it was clear to KIT that they needed to make a change.
"The data volumes have increased considerably over time," Ulrich Weiss, SCC IT manager at KIT. "An unbelievable quantity of information had to be processed and the information itself was sometimes difficult to find on the many web pages. We considered it a matter of urgency to support the editors in their work."
To help employees, students and other key players quickly find the information they were looking for, the team introduced a new search tool based on the patented technology provided by OpenText Semantic Navigation. OpenText Semantic Navigation, helps visitors easily navigate through large quantities of information based on its meaning.
"With more than 600 websites and 150,000 web pages, introducing OpenText Semantic Navigation at KIT was a major project. And, it went off without a hitch," said Weiss. "Everyone was happy that the information required was significantly easier to find. In addition, we can offer more personalized information than before. It is now extremely easy to navigate through the suggested environment."
OpenText Semantic Navigation increased the effectiveness of web marketing and online searches. With the OpenText Content Analytics engine, at its core, OpenText Semantic Navigation is also able to intelligently extract the contents based on its semantic meaning using persons, organizations, and locations as well as basic tone and context.
And, according to Weiss, website visitors were not the only ones to benefit from OpenText Semantic Navigation. "The time saved by over 1,300 of our active Web Site Management editors is enormous. OpenText Content Analytics supports the editors specifically with ever-increasing, day-to-day activities and provides valuable metadata for the websites. The editors were very happy that they no longer have to carry out this work manually. They can now draft a text for which a teaser is automatically published. This, in turn, is automatically linked to the relevant home page and announced accordingly. And, the system performs Search Engine Optimization (SEO) directly, which often times, is overlooked due to time constraints."
Weiss added "Among the key factors to our success was the outstanding support from OpenText during and after the implementation phase. We have to provide specific information, which must be easy to find—a task which OpenText Semantic Navigation performs to perfection."
OpenText Semantic Navigation combines content analytics with information retrieval to automatically present website visitors with content that is relevant to what they're looking for in real time. By analyzing and indexing content and applying content analysis algorithms, it builds a detailed semantic footprint for every page. This patent pending analysis uncovers related content and suggests similar content when users search for sites. OpenText Semantic Navigation is part of the OpenText Discovery Suite, designed to help organizations discover, analyze, and act on enterprise content. OpenText is a true innovator in this space, owning multiple patents and patents applied for in semantic-based navigation, search, and content analysis.
Learn more about OpenText EIM:
- Read Mark Barrenechea's blog: http://www.opentext.com/portal/site/communities/ceo-blog
- Attend Enterprise World 2014: http://www.opentext.com/campaigns/enterprise-world-2014
OpenText is the leader in Enterprise Information Management, helping customers to create a Digital-First World by simplifying, transforming, and accelerating their information needs. Over 100,000 customers already use OpenText solutions, either on premises or in our cloud. For more information about OpenText (NASDAQ: OTEX;TSX: OTC), please visit: www.opentext.com.
Certain statements in this press release may contain words considered forward-looking statements or information under applicable securities laws. These statements are based on OpenText's current expectations, estimates, forecasts and projections about the operating environment, economies and markets in which the company operates. These statements are subject to important assumptions, risks and uncertainties that are difficult to predict, and the actual outcome may be materially different. OpenText's assumptions, although considered reasonable by the company at the date of this press release, may prove to be inaccurate and consequently its actual results could differ materially from the expectations set out herein. For additional information with respect to risks and other factors which could occur, see OpenText's Annual Report on Form 10-K, Quarterly Reports on Form 10-Q and other securities filings with the SEC and other securities regulators. Unless otherwise required by applicable securities laws, OpenText disclaims any intention or obligations to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise.
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SOURCE Open Text Corporation