Evidence theory based knowledge representation

R. Mohamed, J. Watada

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

    5 Citations (Scopus)

    Abstract

    Knowledge is presented in various ways such as semantic network. Hierarchical representation is widely used as one of the well-known methods in knowledge representation. Knowledge representation plays a pivotal role in dealing with knowledge, facts, procedures and meanings for solving problems. The knowledge representation is a crucial task in handling problems, and it tends to fail if we do not understand well the problem or situation to model. The aim of this paper is to propose a logical hierarchical structure for knowledge representation in semantic network. We place stress on modeling knowledge from semantic network perspective during analysis phase. This method is known as evidence-based semantic network or ESN. "Scene labeling" is used as an example for the proposed method. The results show the proposed method is easier to understand than original semantic network.

    Original languageEnglish
    Title of host publicationACM International Conference Proceeding Series
    Pages74-81
    Number of pages8
    DOIs
    Publication statusPublished - 2011
    Event13th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2011 - Ho Chi Minh City
    Duration: 2011 Dec 52011 Dec 7

    Other

    Other13th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2011
    CityHo Chi Minh City
    Period11/12/511/12/7

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    Keywords

    • evidential reasoning
    • fault tree analysis
    • knowledge representation
    • semantic network

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Software

    Cite this

    Mohamed, R., & Watada, J. (2011). Evidence theory based knowledge representation. In ACM International Conference Proceeding Series (pp. 74-81) https://doi.org/10.1145/2095536.2095551