Ontology can be used to define knowledge about the domain, and consequently to reason about properties of that domain. Based on this definition, we can use a provided ontology as background knowledge that allows us to perform a task of text categorization in a given domain.
In this paper, we describe ontology-based text categorization in which the domain ontologies are automatically acquired through morphological rules and ...
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In this paper, we describe ontology-based text categorization in which the domain ontologies are automatically acquired through morphological rules and ...
In this paper, we propose an architecture for TC by addressing domain ontology. Not only more effect and understandability of categorization are achieved, ...
Text topic classification based on ontology means associating the text documents with some corresponding concepts of the ontology. Then the texts can be ...
In this paper domain based ontology is created so that users can relate to different topics of a domain and an automated text categorization technique is ...
In this paper, we describe ontology-based text categorization in which the domain ontologies are automatically acquired through morphological rules and ...
Abstract: We present a method for the automatic classification of text documents into a dynamically defined set of topics of interest.
In this section we present two text categorization methods based on leveraging the existing knowledge represented in a domain ontology. The novelty of this ...
Based on domain ontology, an efficiency concept text categorization was proposed and implemented. Using ontology hierarchy and attribute constraint ...