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Wikipedia is a useful knowledge source that benefits many applications inlanguage processing and knowledge representation. An important feature ofWikipedia is that of categories. Wikipedia pages are assigned differentcategories according to their contents as human-annotated labels which can beused in information retrieval, ad hoc search improvements, entity ranking andtag recommendations. However, important pages are usually assigned too manycategories, which makes it difficult to recognize the most important ones thatgive the best descriptions.  In this paper, we propose an approach to recognize the most descriptiveWikipedia categories. We observe that historical figures in a precise categorypresumably are mutually similar and such categorical coherence could beevaluated via texts or Wikipedia links of corresponding members in thecategory. We rank descriptive level of Wikipedia categories according to theircoherence and our ranking yield an overall agreement of 88.27% compared withhuman wisdom.

Recognizing Descriptive Wikipedia Categories for Historical Figures