Abstract
In the past, research in ontology learning from text has mainly focused on entity recognition, taxonomy induction and relation extraction. In this work we approach a challenging research issue: detecting semantic frames from texts and using them to encode web ontologies. We exploit a new generation Natural Language Processing technology for frame detection, and we enrich the frames acquired so far with argument restrictions provided by a super-sense tagger and domain specializations. The results are encoded according to a Linguistic MetaModel, which allows a complete translation of lexical resources and data acquired from text, enabling custom transformations of the enriched frames into modular ontology components.
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Coppola, B., Gangemi, A., Gliozzo, A., Picca, D., Presutti, V. (2009). Frame Detection over the Semantic Web. In: Aroyo, L., et al. The Semantic Web: Research and Applications. ESWC 2009. Lecture Notes in Computer Science, vol 5554. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02121-3_13
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DOI: https://doi.org/10.1007/978-3-642-02121-3_13
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