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) : multiarray Infinite Relational Model (Mørup et al. 2010)  and normal Infinite Relational Model (Herlau et al. 2012) . 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.
|Title of host publication||2013 Conference on Technologies and Applications of Artificial Intelligence|
|Publication status||Published - 2013|
|Event||2013 Conference on Technologies and Applications of Artificial Intelligence (TAAI) - Taipei, Taiwan, Province of China|
Duration: 6 Dec 2013 → 8 Dec 2013
|Conference||2013 Conference on Technologies and Applications of Artificial Intelligence (TAAI)|
|Country||Taiwan, Province of China|
|Period||06/12/2013 → 08/12/2013|