Nearly-automated metadata hierarchy creation

Abstract

Currently, information architects create metadata category hierarchies manually. We present a nearly-automated approach for deriving such hierarchies, by converting the lexical hierarchy WordNet into a format that reflects the contents of a target information collection. We use the term “nearly-automated” because an information architect should have to make only small adjustments to produce an acceptable metadata structure. We contrast the results with an algorithm that uses lexical co-occurrence statistics.