The Emotion Ontology: Enabling Interdisciplinary Research in the Affective Sciences

被引:0
|
作者
Hastings, Janna [1 ,2 ]
Ceusters, Werner [3 ]
Smith, Barry [4 ,5 ]
Mulligan, Kevin [1 ]
机构
[1] Univ Geneva, Dept Philosophy, Geneva, Switzerland
[2] European Bioinformat Inst, Chemoinformat & Metabolism, Cambridge CB10 1SD, England
[3] Univ Buffalo, Dept Psychiat Ontol Res Grp, New York State Ctr Excellence Bioinformat, Buffalo, NY USA
[4] Univ Buffalo, Dept Philosophy, Buffalo, NY USA
[5] Univ Buffalo, Natl Ctr Ontol Res, New York State Ctr Excellence Bioinformat, Buffalo, NY USA
来源
MODELING AND USING CONTEXT | 2011年 / 6967卷
基金
美国国家卫生研究院; 瑞士国家科学基金会;
关键词
COORDINATED EVOLUTION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Affective science conducts interdisciplinary research into the emotions and other affective phenomena. Currently, such research is hampered by the lack of common definitions of terms used to describe, categorise and report both individual emotional experiences and the results of scientific investigations of such experiences. High quality ontologies provide formal definitions for types of entities in reality and for the relationships between such entities, definitions which can be used to disambiguate and unify data across different disciplines. Heretofore, there has been little effort directed towards such formal representation for affective phenomena, in part because of widespread debates within the affective science community on matters of definition and categorization. To address this requirement, we are developing an Emotion Ontology (EMO). The full ontology and generated OWLDoc documentation are available for download from https://emotion-ontology.googlecode.com/svn/trunk/under the Creative Commons Attribution license (CC BY 3.0).
引用
收藏
页码:119 / +
页数:3
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