Analysis of Conceptualization Patterns across Groups of People

Fumiko  Kano Glückstad; Tue Herlau; Mikkel N. Schmidt; Morten Mørup; Rafal  Rzepka; Kenji  Araki

Analysis of Conceptualization Patterns across Groups of People

Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup, Rafal Rzepka, Kenji Araki

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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 language	English
Title of host publication	Proceedings of 2013 Conference on Technologies and Applications of Artificial Intelligence,
Place of Publication	Los Alamitos, CA
Publisher	IEEE
Publication date	2013
Pages	349-354
ISBN (Print)	9781479925285
Publication status	Published - 2013
Event	The 18th Annual Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013) - National Chengchi University, Taipei, Taiwan, Province of China Duration: 6 Dec 2013 → 8 Dec 2013 Conference number: 18 http://taai2013.nccu.edu.tw/

Conference

Conference	The 18th Annual Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013)
Number	18
Location	National Chengchi University
Country/Territory	Taiwan, Province of China
City	Taipei
Period	06/12/2013 → 08/12/2013
Internet address	http://taai2013.nccu.edu.tw/

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@inproceedings{f8e8aba560114e70a697a43cde3b2868,

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 representingsemantic 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 (M{\o}rup et al. 2010) [2] andnormal 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.",

author = "{Kano Gl{\"u}ckstad}, Fumiko and Tue Herlau and Schmidt, {Mikkel N.} and Morten M{\o}rup and Rafal Rzepka and Kenji Araki",

year = "2013",

language = "English",

isbn = "9781479925285",

pages = "349--354",

booktitle = "Proceedings of 2013 Conference on Technologies and Applications of Artificial Intelligence,",

publisher = "IEEE",

address = "United States",

note = "null ; Conference date: 06-12-2013 Through 08-12-2013",

url = "http://taai2013.nccu.edu.tw/",

}

Kano Glückstad, F, Herlau, T, Schmidt, MN, 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,. IEEE, Los Alamitos, CA, pp. 349-354, The 18th Annual Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013), Taipei, Taiwan, Province of China, 06/12/2013.

Analysis of Conceptualization Patterns across Groups of People. / Kano Glückstad, Fumiko ; Herlau, Tue; Schmidt, Mikkel N. et al.

Proceedings of 2013 Conference on Technologies and Applications of Artificial Intelligence,. Los Alamitos, CA : IEEE, 2013. p. 349-354.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Analysis of Conceptualization Patterns across Groups of People

AU - Kano Glückstad, Fumiko

AU - Herlau, Tue

AU - Schmidt, Mikkel N.

AU - Mørup, Morten

AU - Rzepka, Rafal

AU - Araki, Kenji

N1 - Conference code: 18

PY - 2013

Y1 - 2013

N2 - 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 representingsemantic 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] andnormal 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.

AB - 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 representingsemantic 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] andnormal 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.

M3 - Article in proceedings

SN - 9781479925285

SP - 349

EP - 354

BT - Proceedings of 2013 Conference on Technologies and Applications of Artificial Intelligence,

PB - IEEE

CY - Los Alamitos, CA

Y2 - 6 December 2013 through 8 December 2013

ER -