Abstract
The evaluation of ontology learning for the Semantic Web is a challenging task. No standard evaluation measures, like in the information retrieval community with precision and recall or in the machine learning community with accuracy, are available for judging the quality of ontology learning techniques. The unsupervised nature of ontology learning techniques makes evaluation even more difficult than in typical supervised tasks such as classification.
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© 2002 Springer Science+Business Media New York
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Maedche, A. (2002). Evaluation. In: Ontology Learning for the Semantic Web. The Kluwer International Series in Engineering and Computer Science, vol 665. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0925-7_8
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DOI: https://doi.org/10.1007/978-1-4615-0925-7_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5307-2
Online ISBN: 978-1-4615-0925-7
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