Analysis of Subjective Conceptualizations Towards Collective Conceptual Modelling

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Abstract

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 differ according to different 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, Infinite Relational Model [Kemp, 2006] co-clusters concept-feature relations, which identifies 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 identified common grid visualizes subject specific patterns among the extracted concept-feature clusters. The work further discusses our future perspectives for modeling a collective ontology across subjects according to different subjects' profiles.
Original languageEnglish
Title of host publicationProceedings of the 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013)
Number of pages8
PublisherJapanese Society for Artificial Intelligence
Publication date2013
Article numberPaper 795
Publication statusPublished - 2013
Event27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013) - Toyama, Japan
Duration: 4 Jun 20137 Jun 2013
http://2013.conf.ai-gakkai.or.jp/english-info

Conference

Conference27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013)
CountryJapan
CityToyama
Period04/06/201307/06/2013
Internet address

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