A hybrid approach for learning concept hierarchy from malay text using GAHC and immune network

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

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages315-328
Number of pages14
Volume5666 LNCS
DOIs
Publication statusPublished - 2009
Event8th International Conference on Artificial Immune Systems, ICARIS 2009 - York
Duration: 9 Aug 200912 Aug 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5666 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Artificial Immune Systems, ICARIS 2009
CityYork
Period9/8/0912/8/09

Fingerprint

Concept Hierarchy
Hierarchical Clustering
Hybrid Approach
Ontology
Biochemistry
Knowledge acquisition
Immune system
Semantic Web
Processing
Immune Algorithm
Knowledge Acquisition
Immune System
Network Algorithms
Web Application
Clustering Methods
Preprocessing
Proof by induction
Text
Learning

Keywords

  • Artificial immune system
  • Immune network
  • Machine learning
  • Ontology engineering
  • Ontology learning
  • Semantic web

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Ahmad Nazri, M. Z., Shamsuddin, S. M., Abu Bakar, A., & Abdullah, S. (2009). A hybrid approach for learning concept hierarchy from malay text using GAHC and immune network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5666 LNCS, pp. 315-328). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5666 LNCS). https://doi.org/10.1007/978-3-642-03246-2_29

A hybrid approach for learning concept hierarchy from malay text using GAHC and immune network. / Ahmad Nazri, Mohd Zakree; Shamsuddin, Siti Mariyam; Abu Bakar, Azuraliza; Abdullah, Salwani.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5666 LNCS 2009. p. 315-328 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5666 LNCS).

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

Ahmad Nazri, MZ, Shamsuddin, SM, Abu Bakar, A & Abdullah, S 2009, A hybrid approach for learning concept hierarchy from malay text using GAHC and immune network. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5666 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5666 LNCS, pp. 315-328, 8th International Conference on Artificial Immune Systems, ICARIS 2009, York, 9/8/09. https://doi.org/10.1007/978-3-642-03246-2_29
Ahmad Nazri MZ, Shamsuddin SM, Abu Bakar A, Abdullah S. A hybrid approach for learning concept hierarchy from malay text using GAHC and immune network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5666 LNCS. 2009. p. 315-328. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-03246-2_29
Ahmad Nazri, Mohd Zakree ; Shamsuddin, Siti Mariyam ; Abu Bakar, Azuraliza ; Abdullah, Salwani. / A hybrid approach for learning concept hierarchy from malay text using GAHC and immune network. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5666 LNCS 2009. pp. 315-328 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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