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Conference Paper

YAWN: A Semantically Annotated Wikipedia XML Corpus

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Schenkel,  Ralf
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Suchanek,  Fabian M.
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Kasneci,  Gjergji
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Schenkel, R., Suchanek, F. M., & Kasneci, G. (2007). YAWN: A Semantically Annotated Wikipedia XML Corpus. In A. Kemper, H. Schöning, T. Rose, M. Jarke, T. Seidl, C. Quix, et al. (Eds.), Datenbanksysteme in Business, Technologie und Web (BTW): 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (pp. 277-291). Bonn, Germany: Gesellschaft für Informatik.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2140-5
Abstract
The paper presents YAWN, a system to convert the well-known and widely used Wikipedia collection into an XML corpus with semantically rich, self-explaining tags. We introduce algorithms to annotate pages and links with concepts from the WordNet thesaurus. This annotation process exploits categorical information in Wikipedia, which is a high-quality, manually assigned source of information, extracts additional information from lists, and utilizes the invocations of templates with named parameters. We give examples how such annotations can be exploited for high-precision queries.