Applying taxonomies through auto-classification

Abstract

This article follows two previous articles by Alan Flett published in Business Information Review. It considers why auto-classification is so important to ensuring effective access to information and needs to be a fundamental component of contemporary Knowledge and Information Management (KIM) strategies and architectures. In doing so it considers the predicament of knowledge workers faced with the challenge of publishing findable information and presents the auto-classification principles and techniques that make this possible. Practical solutions are demonstrated with reference to Smartlogic’s Semaphore product.