@inproceedings{zesch2007analysis, abstract = {In this paper, we discuss two graphs in Wikipedia (i) the article graph, and (ii) the category graph. We perform a graph-theoretic analysis of the category graph, and show that it is a scale-free, small world graph like other well-known lexical semantic networks. We substantiate our findings by transferring semantic relatedness algorithms defined on WordNet to the Wikipedia category graph. To assess the usefulness of the category graph as an NLP resource, we analyze its coverage and the performance of the transferred semantic relatedness algorithms. }, address = {Rochester}, author = {Zesch, Torsten and Gurevych, Iryna}, booktitle = {Proceedings of the TextGraphs-2 Workshop (NAACL-HLT)}, interhash = {0401e62edb9bfa85dd498cb40301c0cb}, intrahash = {332ed720a72bf069275f93485432314b}, month = apr, pages = {1--8}, publisher = {Association for Computational Linguistics}, title = {Analysis of the Wikipedia Category Graph for NLP Applications}, url = {http://acl.ldc.upenn.edu/W/W07/W07-02.pdf#page=11}, year = 2007 } @misc{voss2006collaborative, abstract = { This paper explores the system of categories that is used to classify articles in Wikipedia. It is compared to collaborative tagging systems like del.icio.us and to hierarchical classification like the Dewey Decimal Classification (DDC). Specifics and commonalitiess of these systems of subject indexing are exposed. Analysis of structural and statistical properties (descriptors per record, records per descriptor, descriptor levels) shows that the category system of Wikimedia is a thesaurus that combines collaborative tagging and hierarchical subject indexing in a special way. }, author = {Voss, Jakob}, interhash = {7f47ede73627b6bd286a18325bc4d630}, intrahash = {269e8b153ed5856542d0a6e5b2bc7853}, note = {cite arxiv:cs/0604036Comment: 7 pages, 7 figures, 7 tables; v2 with added appendix and fixed references}, title = {Collaborative thesaurus tagging the Wikipedia way}, url = {http://arxiv.org/abs/cs/0604036}, year = 2006 }