Title :
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
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);
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
DOI :
10.1109/ISISE.2009.64
