Abstract
This paper presents an automatic method for differentiating between instances and classes in a large scale taxonomy induced from the Wikipedia category network. The method exploits characteristics of the category names and the structure of the network. The approach we present is the first attempt to make this distinction automatically in a large scale resource. In contrast, this distinction has been made in WordNet and Cyc based on manual annotations. The result of the process is evaluated against ResearchCyc. On the subnetwork shared by our taxonomy and ResearchCyc we report 84.52% accuracy. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Zirn, C., Nastase, V., & Strube, M. (2008). Distinguishing between instances and classes in the wikipedia taxonomy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5021 LNCS, pp. 376–387). https://doi.org/10.1007/978-3-540-68234-9_29
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