Automatic topic identification using ontology hierarchy

Sabrina Tiun, Rosni Abdullah, Tang Enya Kong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

38 Citations (Scopus)

Abstract

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 that 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 that 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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages444-453
Number of pages10
Volume2004
ISBN (Print)3540416870, 9783540416876
Publication statusPublished - 2001
Externally publishedYes
Event2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001 - Mexico City, Mexico
Duration: 18 Feb 200124 Feb 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2004
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001
CountryMexico
CityMexico City
Period18/2/0124/2/01

Fingerprint

Ontology
Linguistics
WordNet
Vertex of a graph
Hierarchical Structure
Hierarchy
Concepts
Knowledge Base
Target
Text

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Tiun, S., Abdullah, R., & Kong, T. E. (2001). Automatic topic identification using ontology hierarchy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2004, pp. 444-453). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2004). Springer Verlag.

Automatic topic identification using ontology hierarchy. / Tiun, Sabrina; Abdullah, Rosni; Kong, Tang Enya.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2004 Springer Verlag, 2001. p. 444-453 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2004).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tiun, S, Abdullah, R & Kong, TE 2001, Automatic topic identification using ontology hierarchy. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2004, Springer Verlag, pp. 444-453, 2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001, Mexico City, Mexico, 18/2/01.
Tiun S, Abdullah R, Kong TE. Automatic topic identification using ontology hierarchy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2004. Springer Verlag. 2001. p. 444-453. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Tiun, Sabrina ; Abdullah, Rosni ; Kong, Tang Enya. / Automatic topic identification using ontology hierarchy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2004 Springer Verlag, 2001. pp. 444-453 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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