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|Title:||Impact of an ontology for automatic text classification|
|Authors:||Wijewickrema, Chaaminda Manjula|
|Keywords:||Ontology;Automatic document classification;Text classification|
|Abstract:|| The concept of
ontologies has widely been used in various applications including email
filtering and electronic news classification. It can be also used for the
classification of digital documents in a library. Advancing the accuracy of
classification is the main purpose of using ontologies for classification.
Documents may be difficult to understand due to the vague terms used in the
text. However, since ontologies represent the semantic relationships of the
terms, they can be used to correctly identify the subject of a document. This
study made an attempt to improve the classification accuracy of an automatic
text classification system by using an ontology.|
Classification results given by the automatic system with and without integrating the ontology were used to evaluate the impact of the ontology for automatic classification. Results showed that 32.76% more documents and 25% more subjects were correctly classified by the ontology based system than the system prior to use of ontology.
|ISSN:||0975-2404 (Online); 0972-5423 (Print)|
|Appears in Collections:||ALIS Vol.61(4) [December 2014]|
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