DocumentCode :
305407
Title :
Semantic retrieval on art museum database system
Author :
Ozaki, Keiji ; Abe, Shji ; Yano, Yoneo
Author_Institution :
Fac. of Manage. & Inf. Sci., Shikoku Univ., Tokushima, Japan
Volume :
3
fYear :
1996
fDate :
14-17 Oct 1996
Firstpage :
2108
Abstract :
We discuss a semantic retrieval method on an art museum database system ArtFinder. It is characteristic of the semantic retrieval to use the semantics of art works as keys. By using this function, the user can find art works which he/she imagines. There are three kinds of knowledge in ArtFinder: art work knowledge, art knowledge and general knowledge. The art work knowledge is the meanings of art works. The art knowledge is the expert knowledge about art. The general knowledge is the common sense in daily life about the objects depicted in art works. Using these knowledge, the user can understand the interpretations of art works and find other art works which are resemble in the meaning
Keywords :
art; database management systems; ArtFinder; art knowledge; art museum database system; art work knowledge; common sense; general knowledge; semantic retrieval; Art; Birds; Data engineering; Database systems; Humans; Image databases; Information retrieval; Marine vehicles; Shape; Subspace constraints;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
ISSN :
1062-922X
Print_ISBN :
0-7803-3280-6
Type :
conf
DOI :
10.1109/ICSMC.1996.565465
Filename :
565465
Link To Document :
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