var ios = (/iphone|ipad|ipod/i.test(navigator.userAgent.toLowerCase())); var android = (/android/i.test(navigator.userAgent.toLowerCase())); var other = (/blackberry|mini|windows\sce|palm/i.test(navigator.userAgent.toLowerCase())); if (ios) { document.location = "http://itunes.apple.com/gb/app/yudu-media/id376515468?mt=8"; } else if (android) { document.location = "http://digitalversions.com/yudubrochure/Gilbane_Report_2008.pdf"; } else if (other) { document.location = "http://www.yudu.com/"; }
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Digital Magazine and Newspaper Editions: Best Practice Cases
� Web 2.0 Tools
Creation and management of blogs, forums, RSS/XML feeds.
Digital Asset Management
Nstein’s DAM capabilities enable publishers to maximize the value of their digital
assets.
For publishers facing inadequate access to content and search engine limitations — or
archives that are either spread out or challenging to aggregate — Nstein's DAM offers
an end-to-end solution with advanced search and retrieval capabilities, user-friendly
management functions, and sophisticated security and right management features.
With the power to enrich editorial content with contextual metatags and to index, store,
and repurpose user-generated content from all online properties, publishers gain more
control over leveraging assets at every level and genuinely maximize the value of assets.
Nstein's DAM is a customizable platform that integrates within existing corporate
infrastructures. All DAM assets are stored in the native XML repository, while its
business and core logic are stored in a standard SQL database that can be hosted on any
existing SQL installation. The system interfaces with existing sources of editorial
content, allowing publishers to syndicate their content into different channels
automatically.
Nstein's DAM provides:
� Asset Aggregation
� Asset Management
� XML Search and Storage
� Web GUI Interfaces
� Audits Trails
� Scalability
� Flexible Outputs for Syndication or Web Publication
Text Mining Engine
Nstein’s TME is built to process high volumes of multilingual, unstructured
information. Nstein's Text Mining Engine complies with press and media industry
requirements for ongoing content production workflows, automatically generating
contextual metatags from sources such as newsroom articles, newsfeeds, audio and
video files, blogs, forums, and user-generated content.
Nstein's TME also provides a highly productive content management environment that
offers benefits to editorial staff and knowledge workers. Going beyond mere keyword-
based technology, it delivers faster and more accurate search results, seamlessly
integrates with existing workflows, and enables highly profitable categorization and
repurposing of both live content and archives.
33
©2008 Gilbane Group, Inc. http://gilbane.com
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