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

    Fingerprint

    Dive into the research topics of 'Collaborative ontology generation method using an ant colony optimization model'. Together they form a unique fingerprint.

    Cite this