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Please use this identifier to cite or link to this item: http://hdl.handle.net/10289/2207

Title: Mining meaning from Wikipedia
Authors: Medelyan, Olena
Milne, David
Legg, Catherine
Witten, Ian H.
Issue Date: 2009
Citation: Medelyan, O., Milne, D., Legg, C. & Witten, I.H. (2009). Mining meaning from Wikipedia. International Journal of Human-Computer Interactions. Available online 29 May 2009.
DOI: 10.1016/j.ijhcs.2009.05.004
Abstract: Wikipedia is a goldmine of information; not just for its many readers, but also for the growing community of researchers who recognize it as a resource of exceptional scale and utility. It represents a vast investment of manual effort and judgment: a huge, constantly evolving tapestry of concepts and relations that is being applied to a host of tasks. This article provides a comprehensive description of this work. It focuses on research that extracts and makes use of the concepts, relations, facts and descriptions found in Wikipedia, and organizes the work into four broad categories: applying Wikipedia to natural language processing; using it to facilitate information retrieval and information extraction; and as a resource for ontology building. The article addresses how Wikipedia is being used as is, how it is being improved and adapted, and how it is being combined with other structures to create entirely new resources. We identify the research groups and individuals involved, and how their work has developed in the last few years. We provide a comprehensive list of the open-source software they have produced.
Keywords: Wikipedia
text mining
Wikipedia mining
NLP
information retrieval
information extraction
ontologies
semantic web
Type: Journal Article
URI: http://hdl.handle.net/10289/2207
Publisher's Statement: This is the author’s accepted version of an article published in the International Journal of Human-Computer Interactions.
Appears in Collections:Arts and Social Sciences Papers
Computing and Mathematical Sciences Papers

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