A Study of Fuzzy Emotion Semantic Ontology

Author

Zhao Juan-Juan ; Chen Jun-jie ; Guo Hui-hui

Author_Institution

Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan, China

fYear

2009

fDate

26-28 Dec. 2009

Firstpage

439

Lastpage

442

Abstract

The fuzzy concept theory is applied in the emotion ontology library construction due to the emotion´s fuzzy characteristic. This paper suggests a method of building emotion semantic ontology using the Fuzzy Formal Concept Analyzing (FFCA) theory. Then fuzzy emotion concept lattice is presented, which is on the basis of fuzzy emotion. Finally, a retrieval model in image semantic emotion is provided based on the former work. Related experiments were carried out of which the results validated the feasibility of this method on image emotional semantic search.

Keywords

fuzzy set theory; image retrieval; ontologies (artificial intelligence); emotion ontology library construction; fuzzy concept theory; fuzzy emotion semantic ontology; fuzzy formal concept analyzing theory; image retrieval; image semantic emotion; Atherosclerosis; Image analysis; Image retrieval; Information retrieval; Information science; Lattices; MPEG 7 Standard; Mood; Ontologies; Shape; Emotion Semantic; Fuzzy Emotion Concept Lattice; Fuzzy Formal Concept Analyzing (FFCA);

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ISISE), 2009 Second International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-6325-1

Electronic_ISBN

978-1-4244-6326-8

Type

conf

DOI

10.1109/ISISE.2009.64

Filename

5447267