Analysis of Conceptualization Patterns across Groups of People

Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup, Rafal Rzepka, Kenji Araki

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    Abstrakt

    This paper analyzes patterns of conceptualizations possessed by different groups of subjects. The eventual goal of this work is to dynamically learn and structure semantic representations for groups of people sharing domain knowledge. In this paper, we conduct a survey for collecting data representing
    semantic representations of 34 subjects with different profiles in gender and educational background. The collected data is analyzed by an approach combining two extended versions of the Infinite Relational Model (Kemp et al. 2006) [1]: multiarray Infinite Relational Model (Mørup et al. 2010) [2] and
    normal Infinite Relational Model (Herlau et al. 2012) [3]. Results indicate that the employed approach not only localizes similar patterns of conceptualization within a group of subjects having a common profile, but also identifies differences in conceptualization across different subject groups.
    OriginalsprogEngelsk
    TitelProceedings of 2013 Conference on Technologies and Applications of Artificial Intelligence,
    Udgivelses stedLos Alamitos, CA
    ForlagIEEE
    Publikationsdato2013
    Sider349-354
    ISBN (Trykt)9781479925285
    StatusUdgivet - 2013
    BegivenhedThe 18th Annual Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013) - National Chengchi University, Taipei, Taiwan
    Varighed: 6 dec. 20138 dec. 2013
    Konferencens nummer: 18
    http://taai2013.nccu.edu.tw/

    Konference

    KonferenceThe 18th Annual Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013)
    Nummer18
    LokationNational Chengchi University
    LandTaiwan
    ByTaipei
    Periode06/12/201308/12/2013
    Internetadresse

    Citationsformater

    Kano Glückstad, F., Herlau, T., Schmidt, M. N., Mørup, M., Rzepka, R., & Araki, K. (2013). Analysis of Conceptualization Patterns across Groups of People. I Proceedings of 2013 Conference on Technologies and Applications of Artificial Intelligence, (s. 349-354). Los Alamitos, CA: IEEE.