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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    Abstract

    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.
    Original languageEnglish
    Title of host publicationProceedings of 2013 Conference on Technologies and Applications of Artificial Intelligence,
    Place of PublicationLos Alamitos, CA
    PublisherIEEE
    Publication date2013
    Pages349-354
    ISBN (Print)9781479925285
    Publication statusPublished - 2013
    EventThe 18th Annual Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013) - National Chengchi University, Taipei, Taiwan, Province of China
    Duration: 6 Dec 20138 Dec 2013
    Conference number: 18
    http://taai2013.nccu.edu.tw/

    Conference

    ConferenceThe 18th Annual Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013)
    Number18
    LocationNational Chengchi University
    CountryTaiwan, Province of China
    CityTaipei
    Period06/12/201308/12/2013
    Internet address

    Cite this

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