Saving Time and Money with a Rule Based Approach to Automatic Indexing

Getting a Higher Return on Your Investment by Marjorie M.K. Hlava, President, Access Innovations, Inc. There are two major types of automatic categorization systems. These two types of systems are known by many different names. However, the information science theory behind them boils down to two major schools of thought: rule based and statistics based.…

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Automatic Indexing: How Two Approaches Compare

Understanding “Rule Based” vs. “Statistics Based” Indexing Systems by Marjorie M.K. Hlava reprinted from Information Outlook with permission It’s never been more fascinating—or more challenging—to be an information professional. Surveys show that corporate librarians have more information to manage, and less staff to help manage it, than ever before. Not only is the universe of…

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The Strategic Business Value of a Well-Constructed Taxonomy

By Bert Carelli An organization’s website is today the primary strategic tool not only for delivering information and promoting its scholarly mission, but also for developing and maintaining relationships with and among its members and the larger scholarly community. A unified semantic strategy is the best way of bringing together all elements of that mission…

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Master Data Management and Taxonomies

November 22, 2010 – At the recent Data Content conference in Philadelphia, put on by InfoCommerce Group, Managing Director Scott Taylor gave a presentation on the challenges and opportunities of Master Data Management (MDM). MDM is usually defined as data management that addresses the need to avoid maintaining multiple versions of singular entities within content stores. In practical…

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Agility Seems to be the Word of the Week

TM Forum’s Management World remained focused on operations this year. Even if their expansion into “specialist streams” might have initially confused some people into thinking TM Forum is “straying” from its core competency.

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