Gilbane Research Report - Digital Magazine Editions - (Page 32)

Digital Magazine and Newspaper Editions: Best Practice Cases Philosophy Nstein’s philosophy is that reading an online publication should be at least as easy and engaging as reading a high-quality paper publication – if not more so. To reach this goal, publishers need a CMS that is designed specifically for their needs, which are different from the needs of corporate Web sites or intranets. A CMS designed for online publishing must have computer-aided ingestion to handle the massive flow of input into the editor’s desk, and automated categorization and meta-tagging to ensure that related to content can be presented to the reader/viewer as an uninterrupted experience. Today’s readers and viewers have a surplus of available content, and what they really want is a publication that will deliver to them the content that they feel is relevant. Technology Description Nstein’s product offering has three major components: Web Content Management (WCM), Digital Asset Management (DAM), and Text Mining Engine (TME). Nstein is the only vendor to offer all three of these core content infrastructure technologies in a single, integrated offering. Web Content Management Nstein’s WCM is an editorial back-office and publication system that can reside anywhere in a client's existing infrastructure. Nstein's WCM enables organizations to publish Web content such as HTML, PHP, .NET, and XML feeds with ease in different physical locations. Other key features include: Search Engine Optimization Search engine-optimized content, friendly URLs, organically optimized HTML code, and automatic population of abstract and keywords metadata within HTML header. Back Office and Site Administration Multisite management of Web content; third-party Web applications asset extraction; toolbox (HTML/XML editing tools, cache management); static content publication; localization and scalable and central XML search and storage. Editorial Edition and publication of editorial objects upon schedules, rules, and users; XML search and guided navigation for both editorial staff and online readers; editorial taxonomies enabling IPTC or custom classification; editorial feeds management, built-in editorial features such as slideshows, glossaries, events calendar, and more. Front Office Site search and advanced XML search; exclusive text mining features such as topic clustering (in combination with Nstein's Text Mining Engine); assets rating ("most rated"); assets hit count ("most viewed"); and built-in "Ask the Experts" feature. ©2008 Gilbane Group, Inc. 32 http://gilbane.com http://gilbane.com

Table of Contents for the Digital Edition of Gilbane Research Report - Digital Magazine Editions

Gilbane Research Report - Digital Magazine Editions
Table of Contents
Introduction
Section One: The Data
Section Two: Best Practice Cases
Nxtbook
Bentley Systems
Graduate Prospects
Hearst
Information Today
Marine Log
Vendor Description
Section Three: Buyer’s Guide
Section Four: Visionaries
Section Five: Conclusions
The Authors
About the Gilbane Group, Inc.
Our Sponsors

Gilbane Research Report - Digital Magazine Editions