A Hybrid Approach for Learning Concept Hierarchy from Malay Text Using GAHC and Immune Network

  • Mohd Zakree Ahmad Nazri
  • Siti Mariyam Shamsuddin
  • Azuraliza Abu Bakar
  • Salwani Abdullah
Conference paper

DOI: 10.1007/978-3-642-03246-2_29

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5666)
Cite this paper as:
Nazri M.Z.A., Shamsuddin S.M., Bakar A.A., Abdullah S. (2009) A Hybrid Approach for Learning Concept Hierarchy from Malay Text Using GAHC and Immune Network. In: Andrews P.S. et al. (eds) Artificial Immune Systems. ICARIS 2009. Lecture Notes in Computer Science, vol 5666. Springer, Berlin, Heidelberg

Abstract

The human immune system provides inspiration in the attempt of solving the knowledge acquisition bottleneck in developing ontology for semantic web application. In this paper, we proposed an extension to the Guided Agglomerative Hierarchical Clustering (GAHC) method that uses an Artificial Immune Network (AIN) algorithm to improve the process of automatically building and expanding the concept hierarchy. A small collection of Malay text is used from three different domains which are IT, Biochemistry and Fiqh to test the effectiveness of the proposed approach and also by comparing it with GAHC. The proposed approach consists of three stages: pre-processing, concept hierarchy induction using GAHC and concept hierarchy learning using AIN. To validate our approach, the automatically learned concept hierarchy is compared to a reference ontology developed by human experts. Thus it can be concluded that the proposed approach has greater ability to be used in learning concept hierarchy.

Keywords

Artificial Immune System Ontology Learning Immune Network Ontology Engineering Machine Learning Semantic Web 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Mohd Zakree Ahmad Nazri
    • 1
    • 2
  • Siti Mariyam Shamsuddin
    • 2
  • Azuraliza Abu Bakar
    • 1
  • Salwani Abdullah
    • 1
  1. 1.Data Mining & Optimization Research Group, Faculty of Information Science & TechnologyUniversiti Kebangsaan MalaysiaBangiMalaysia
  2. 2.Soft Computing Research Group, Faculty of Computer Science & Information SystemUniversiti Teknologi MalaysiaSkudaiMalaysia

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