Abstract
Existing social collaboration projects contain a host of conceptual knowledge, but are often only sparsely structured and hardly machine-accessible. Using the well known Wikipedia as a showcase, we propose new and improved techniques for extracting ontology data from the wiki category structure. Applications like information extraction, data classification, or consistency checking require ontologies of very high quality and with a high number of relationships. We improve upon existing approaches by finding a host of additional relevant relationships between ontology classes, leveraging multi-lingual relations between categories and semantic relations between terms.
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Schönberg, C., Pree, H., Freitag, B. (2010). Rich Ontology Extraction and Wikipedia Expansion Using Language Resources. In: Chen, L., Tang, C., Yang, J., Gao, Y. (eds) Web-Age Information Management. WAIM 2010. Lecture Notes in Computer Science, vol 6184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14246-8_17
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DOI: https://doi.org/10.1007/978-3-642-14246-8_17
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