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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Coppola, B., Gangemi, A., Gliozzo, A., Picca, D., & Presutti, V. (2009). Frame detection over the semantic web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5554 LNCS, pp. 126–142). https://doi.org/10.1007/978-3-642-02121-3_13
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