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Analysis of Conceptualization Patterns across Groups of People

Publikation: Forskning - peer reviewKonferencebidrag i proceedings

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.

Publikationsoplysninger

OriginalsprogEngelsk
TitelProceedings of 2013 Conference on Technologies and Applications of Artificial Intelligence,
Udgivelses stedLos Alamitos, CA
UdgiverIEEE
Publikationsdato2013
Sider349-354
ISBN (trykt)9781479925285
StatusUdgivet - 2013
Scopus citationer
BegivenhedThe 18th Annual Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013) - Taipei, Taiwan

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

ID: 39060851