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. © Springer-Verlag 2009.
Cite
CITATION STYLE
APA
Fallucchi, F., Scarpato, N., Stellato, A., & Zanzotto, F. M. (2009). Probabilistic ontology learner in semantic Turkey. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5883 LNAI, pp. 294–303). https://doi.org/10.1007/978-3-642-10291-2_30
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