Abstract
Ontologies may help to facilitate the finding and use of Web information. However, the engineering of an ontology may turn out to be expensive and time-consuming. Therefore, we exploit ontology learning techniques that automate ontology engineering to some extent. In this chapter, we focus on the learning of the taxonomic backbone of ontologies, presenting a survey on algorithms as well as on some new ideas that consider the structure of existing ontology parts. Eventually, we describe an evaluation of our proposal and give concrete results.
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Maedche, A., Pekar, V., Staab, S. (2003). Ontology Learning Part One — on Discovering Taxonomic Relations from the Web. In: Zhong, N., Liu, J., Yao, Y. (eds) Web Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05320-1_14
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DOI: https://doi.org/10.1007/978-3-662-05320-1_14
Publisher Name: Springer, Berlin, Heidelberg
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