Abstract
The discovery of non-taxonomical relationships is one of the less studied knowledge acquisition tasks, even though it is a crucial point in ontology learning. We present an automatic and unsupervised methodology for extracting non-taxonomically related concepts and labelling relationships, using the whole Web as learning corpus. We also discuss how the obtained relationships may be automatically evaluated, using relatedness measures based on WordNet.
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Sánchez, D., Moreno, A. (2006). Discovering Non-taxonomic Relations from the Web. In: Corchado, E., Yin, H., Botti, V., Fyfe, C. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2006. IDEAL 2006. Lecture Notes in Computer Science, vol 4224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875581_76
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DOI: https://doi.org/10.1007/11875581_76
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