Abstract

ABSTRACT Automatic categorization is a new technology designed to control the flood of unstructured, non-indexed, and unorganized digital content that threatens to swamp knowledge workers in corporations and government. Auto-categorization software tools provide the means to categorize digital content according to predefined taxonomies, to extract concepts and entities for the development of taxonomies and to tag content with subject-related metadata tags.This paper describes the primary text-processing technologies employed by auto-categorization tools, outlines the features of the tools and discusses the human/machine interaction required to execute an effective categorization process. This paper is based on the contents of a presentation given at the Canadian Metadata Forum, Ottawa, September 26-28, 2005.

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