Discovering non-taxonomic relations from the web

Authors:
David Sánchez;Antonio Moreno
Affiliations:
Computer Science and Mathematics Department, Universitat Rovira i Virgili (URV), Tarragona, Catalonia, Spain;Computer Science and Mathematics Department, Universitat Rovira i Virgili (URV), Tarragona, Catalonia, Spain
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

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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.