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 fo 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.
CITATION STYLE
Maedche, A., Pekar, V., & Staab, S. (2003). Ontology Learning Part One — on Discovering Taxonomic Relations from the Web. In Web Intelligence (pp. 301–319). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-05320-1_14
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