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- 75 creator krys-kochut.
- 75 creator maciej-janik.
- 75 type InProceedings.
- 75 label "OmniCat: Automatic Text Classification with Dynamically Defined Categories".
- 75 sameAs 75.
- 75 abstract "We present OmniCat, an ontology-based text categorization method that classifies documents into a dynamically defined set of categories specified as contexts in the domain ontology. The method does not require a training set and is based on measuring the semantic similarity of the thematic graph created from a text document and the ontology fragments created by the projection of the defined contexts. The domain ontology together with the defined contexts effectively becomes the classifier, as it includes all of the necessary semantic and structural features of the classification categories. With the proposed approach, we can also dynamically change the classification categories without the need to retrain the classifier. In our experiments, we used an RDF ontology created from the full version of the English language Wikipedia to categorize a set of CNN documents and a subset of the Reuters RCV1 corpora. The high accuracy achieved in our tests demonstrates the effectiveness of the proposed method and applicability of Wikipedia for semantic text categorization.".
- 75 hasAuthorList authorList.
- 75 isPartOf poster_demo_proceedings.
- 75 keyword "Ontology-based text categorization".
- 75 keyword "Semantic Web".
- 75 title "OmniCat: Automatic Text Classification with Dynamically Defined Categories".