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CICLING
2001
Springer

Automatic Topic Identification Using Ontology Hierarchy

12 years 8 months ago
Automatic Topic Identification Using Ontology Hierarchy
This paper proposes a method of using ontology hierarchy in automatic topic identification. The fundamental idea behind this work is to exploit an ontology hierarchical structure in order to find a topic of a text. The keywords which are extracted from a given text will be mapped onto their corresponding concepts in the ontology. By optimizing the corresponding concepts, we will pick a single node among the concepts nodes which we believe is the topic of the target text. However, a limited vocabulary problem is encountered while mapping the keywords onto their corresponding concepts. This situation forces us to extend the ontology by enriching each of its concepts with new concepts using the external linguistics knowledge-base (WordNet). Our intuition of a high number keywords mapped onto the ontology concepts is that our topic identification technique can perform at its best.
Sabrina Tiun, Rosni Abdullah, Tang Enya Kong
Added 28 Jul 2010
Updated 28 Jul 2010
Type Conference
Year 2001
Where CICLING
Authors Sabrina Tiun, Rosni Abdullah, Tang Enya Kong
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