Analysis of Subjective Conceptualizations Towards Collective Conceptual Modelling

Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    This work is conducted as a preliminary study for a project where individuals' conceptualizations of domain knowledge will thoroughly be analyzed across 150 subjects from 6 countries. The project aims at investigating how humans' conceptualizations dier according to dierent types of mother languages, cultural backgrounds, gender, generations, etc., when domain-specic terms are expressed in a common language, i.e. English. In this work, we analyze a publicly available dataset [De Deyne, 2008] representing semantic structures of domain knowledge possessed by four subjects. The application of a non-parametric relational model, Innite Relational Model [Kemp, 2006] co-clusters concept-feature relations, which identies a common semantic structural grid across the four subjects considered. Through this common grid, the individual semantic structures possessed by the respective subjects are further contrasted to each other. The results show that the identied common grid visualizes subject specic patterns among the extracted concept-feature clusters. The work further discusses our future perspectives for modeling a collective ontology across subjects according to dierent subjects' proles.
    Original languageEnglish
    Title of host publicationProceedings of the 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013) : International Organized Session: Modern Approaches for Intelligence Design. From Mining to Inference
    Number of pages9
    Place of Publicationwww
    PublisherJapanese Society for Artificial Intelligence
    Publication date2013
    ChapterPaper 795
    Publication statusPublished - 2013
    EventThe 27th Annual Conference of the Japanese Society for Artificial Intelligence. JSAI 2013 - Toyama International Conference Center, Toyama, Japan
    Duration: 4 Jun 20137 Jun 2013
    Conference number: 27


    ConferenceThe 27th Annual Conference of the Japanese Society for Artificial Intelligence. JSAI 2013
    LocationToyama International Conference Center
    Internet address

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