Taxonomy construction is a resource-demanding, top down, and time consuming effort. It does not always cater for the prevailing context of the captured information. This paper proposes a novel approach to automatically convert tags into a hierarchical taxonomy. Folksonomy describes the process by which many users add metadata in the form of keywords or tags to shared content. Using folksonomy a...

Cybercrimes over the years have become both increasingly numerous and sophisticated. This paper presents a taxonomy for cybercrimes that can be used for the analysis and categorization of such crimes, as well as providing consistency in language when describing cybercrimes. This taxonomy is designed to be useful to information bodies such as the Jamaican Cybercrime Unit, who have to handle and ...

This chapter introduces OntoExtractor, a tool for the semi-automatic generation of the taxonomy from a set of documents or data sources. The tool generates the taxonomy in a bottom-up fashion. Starting from structural analysis of the documents, it produces a set of clusters, which can be refined by a further grouping created by content analysis. Metadata describing the content of each cluster i...

Guided by multiple heuristics, a unified taxonomy of entities and categories is distilled from the Wikipedia category network. A comprehensive evaluation, based on the analysis of upward generalization paths, demonstrates that the taxonomy supports generalizations which are more than twice as accurate as the state of the art. The taxonomy is available at http://headstaxonomy.com.

An existing taxonomy of Dutch cue phrases, designed for use in story generation, was validated by analysing cue phrase usage in a corpus of classical fairy tales. The analysis led to some adaptations of the original taxonomy.