Collaborative ontology generation method using an ant colony optimization model

Hansaem Park, Jeungmin Lee, Kyunglag Kwon, Jongsoo Sohn, Yunwan Jeon, Sungwoo Jung, In Jeong Chung

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

1 Citation (Scopus)

Abstract

Ontology has been regarded as the core technology of the semantic web. However, non-experts still have difficulties in participating in ontology generation. So, the growing need for public participation in ontology generation has arisen. We propose a method in which the public may participate in ontology generation by adopting the ACO (Ant Colony Optimization) algorithm. We demonstrate that the ontology generated by the proposed method is satisfactory to justify our method: precision and recall of the ontology are about 94.44 and 99.6% respectively. The suggested method enables the construction of the semantic web environment with non-experts in the field of ontology engineering.

Original languageEnglish
Title of host publicationAdvanced Multimedia and Ubiquitous Engineering - FutureTech and MUE
EditorsHai Jin, Young-Sik Jeong, Muhammad Khurram Khan, James J. Park
PublisherSpringer Verlag
Pages541-549
Number of pages9
ISBN (Print)9789811015359
DOIs
Publication statusPublished - 2016
Event11th International Conference on Future Information Technology, FutureTech 2016 - Beijing, China
Duration: 2016 Apr 202016 Apr 22

Publication series

NameLecture Notes in Electrical Engineering
Volume393
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other11th International Conference on Future Information Technology, FutureTech 2016
Country/TerritoryChina
CityBeijing
Period16/4/2016/4/22

Keywords

  • Ant colony optimization (ACO)
  • Ontology
  • Semantic web

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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