Evidence theory based knowledge representation

R. Mohamed*, J. Watada

*この研究の対応する著者

    研究成果: Conference contribution

    6 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルACM International Conference Proceeding Series
    ページ74-81
    ページ数8
    DOI
    出版ステータスPublished - 2011
    イベント13th International Conference on Information Integration and Web-Based Applications and Services, iiWAS2011 - Ho Chi Minh City
    継続期間: 2011 12月 52011 12月 7

    Other

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

    ASJC Scopus subject areas

    • 人間とコンピュータの相互作用
    • コンピュータ ネットワークおよび通信
    • コンピュータ ビジョンおよびパターン認識
    • ソフトウェア

    フィンガープリント

    「Evidence theory based knowledge representation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

    引用スタイル