How to Visualize a Crisp or Fuzzy Topic Set over a Taxonomy

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2 Citations (Scopus)

Abstract

A novel method for visualization of a fuzzy or crisp topic set is developed. The method maps the set's topics to higher ranks of the taxonomy tree of the field. The method involves a penalty function summing penalties for the chosen "head subjects" together with penalties for emerging "gaps" and "offshoots". The method finds a mapping minimizing the penalty function in recursive steps involving two different scenarios, that of ‘gaining a head subject' and that of ‘not gaining a head subject'. We illustrate the method by applying it to illustrative and real-world data.
Original languageUnknown
Title of host publicationLNCS
Pages3-12
DOIs
Publication statusPublished - 1 Jan 2011
EventProcs. of the 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI) -
Duration: 1 Jan 2011 → …

Conference

ConferenceProcs. of the 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI)
Period1/01/11 → …

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