Abstract
In this paper we present the Semantic Turkey Ontology Learner (ST-OL), an incremental ontology learning system, that follows two main ideas: (1) putting final users in the learning loop; (2) using a probabilistic ontology learning model that exploits transitive relations for inducing better extraction models.
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Fallucchi, F., Scarpato, N., Stellato, A., Zanzotto, F.M. (2009). Probabilistic Ontology Learner in Semantic Turkey. In: Serra, R., Cucchiara, R. (eds) AI*IA 2009: Emergent Perspectives in Artificial Intelligence. AI*IA 2009. Lecture Notes in Computer Science(), vol 5883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10291-2_30
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DOI: https://doi.org/10.1007/978-3-642-10291-2_30
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