Enabling a semantic smart WWW: A soft computing framework for automatic ontology development

Rowena Chau, Chung-Hsing Yeh

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    1 Citation (Scopus)

    Abstract

    Text-based information accounts for more than 80% of today's Web content. They consist of Web pages written in different natural languages. As the semantic Web aims at turning the current Web into a machine-understandable knowledge repository, availability of multilingual ontology thus becomes an issue at the core of a multilingual semantic Web. However, multilingual ontology is too complex and resource intensive to be constructed manually. In this paper, we propose a three-layer model built on top of a soft computing framework to automatically acquire a multilingual ontology from domain specific parallel texts. The objective is to enable semantic smart information access regardless of language over the Web.

    Original languageEnglish
    Title of host publicationProceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Interne
    Pages1067-1071
    Number of pages5
    Volume2
    Publication statusPublished - 1 Dec 2005
    EventInternational Conference on Computational Intelligence for Modelling, Control and Automation 2005 - Vienna, Austria
    Duration: 28 Nov 200530 Nov 2005

    Conference

    ConferenceInternational Conference on Computational Intelligence for Modelling, Control and Automation 2005
    Abbreviated titleCIMCA 2005
    Country/TerritoryAustria
    CityVienna
    Period28/11/0530/11/05

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