Gilbane Research Report - Digital Magazine Editions - (Page 25) Digital Magazine and Newspaper Editions: Best Practice Cases an editor wants to use it. The contract numbers are included as PDF annotations; a custom-designed interface lets users pick the correct contract number from the company’s ERP system according to the source of the content. The Nstein system also has a facility for quickly creating large feeds of content to aggregators. In the past, about half a dozen of the company’s titles had XML feeds to Lexis-Nexis, NewsBank, Factiva, and other aggregators; these were hand-coded and not very consistent. Now, there is an automated tool, so that a person at a certain magazine can simply select which articles to syndicate and where to send them; the tool creates a file in PRISM format with consistent tags to be sent. LPG also implemented Nstein’s text mining feature during the initial seven-month development period. Rodriguez had modest expectations for the text mining functionality, because it was based on the IPTC (news industry standard) keyword taxonomy that Nstein supplies “out of the box.” The IPTC taxonomy is only about 1,000 keywords in size, which is far too small to be useful for the specific fields of interest that LPG’s magazines cover. One of LPG’s future tasks with Nstein is to build an extension of the IPTC taxonomy that meets LPG's needs better. LPG expects that the text mining functionality will create more and better keywords, which will lead to better search results — not only for consumers searching the Internet but also for professionals searching Lexis-Nexis and other aggregators. The Nstein system went live at Large Publishing Group in October 2007. They rolled it out initially to four magazine titles, including one of the company’s flagships which owns many historical images — a total of about 375 users. LPG intends to roll the system out to the rest of the company imminently. LPG developed its own user interface to Nstein rather than use the one Nstein supplies out of the box; it chose a more neutral color palette in order to be less obtrusive to photo editors using the system. The user interface is also designed to segregate different asset types (articles, photos, etc.) into their own tabbed areas and to keep search and other features simple enough for novices. As for training: LPG will hand out quick reference cards and hold a few introductory meetings during its rollout, but Rodriguez believes that the system is so easy to use that no extensive classroom training will be necessary, and the company’s editorial librarians will be available to address questions of keywords and other metadata Reader’s Digest Association Reader’s Digest Association (RDA) is another publisher that is implementing Nstein’s content management and text mining technology initially for internal use. Reader’s Digest is a storied name in American publishing that dates back to 1922 and has become a global brand; its flagship magazine is now available in 21 languages and more than 60 countries around the world. In addition, Reader's Digest publishes other best-selling titles, including Taste of Home, Every Day with Rachael Ray, Family Handyman, and international titles such as Joy (Mexico), as ©2008 Gilbane Group, Inc. 25 http://gilbane.com http://gilbane.com
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