Abstract
We describe a reasoning-based approach to text classification which synergically combines: (1) ontologies for the formal representation of the domain knowledge; (2) pre-processing technologies for a symbolic representation of texts and (3) logic as the categorization rule language.
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Cumbo, C., Iiritano, S., Rullo, P. (2004). Reasoning-Based Knowledge Extraction for Text Classification. In: Suzuki, E., Arikawa, S. (eds) Discovery Science. DS 2004. Lecture Notes in Computer Science(), vol 3245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30214-8_34
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DOI: https://doi.org/10.1007/978-3-540-30214-8_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23357-2
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