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 language | English |
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Title of host publication | Proceedings of the 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013) |
Number of pages | 8 |
Publisher | Japanese Society for Artificial Intelligence |
Publication date | 2013 |
Article number | Paper 795 |
Publication status | Published - 2013 |
Event | 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013) - Toyama, Japan Duration: 4 Jun 2013 → 7 Jun 2013 http://2013.conf.ai-gakkai.or.jp/english-info |
Conference
Conference | 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013) |
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Country/Territory | Japan |
City | Toyama |
Period | 04/06/2013 → 07/06/2013 |
Internet address |