Paper Info
Title
Analysis of Conceptualization Patterns across Groups of People
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): multiarray Infinite Relational Model (M酶rup 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.
Year
DOI
Venue
2013
10.1109/.73
TAAI
Keywords
Field
DocType
normal infinite relational model,different profile,structure semantic representation,paper analyzes pattern,semantic representation,infinite relational model,different group,common profile,conceptualization patterns,different subject group,multiarray infinite relational model,data analysis,data structures
Data science,Social group,Data structure,Categorization,Domain knowledge,Collective intelligence,Computer science,Cognitive psychology,Conceptualization,Relational model,Psycholinguistics
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
6
Name
Order
Citations
PageRank
Fumiko Kano Glückstad152.81
Tue Herlau2133.77
Mikkel N. Schmidt327726.13
Morten Mørup470451.29
Rafal Rzepka518740.62
Kenji Araki634380.17