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Fuzzy Recognition Method for Fish Ontology Retrieving

Xi-tao ZHENG(郑西清), Yong-wei ZHANG(张永伟)

 

School of Information Science and Engineering, Shandong Universit y, Jinan 250100, China

 

Abstract-This paper presents a new method based on ontology fo rmation and fuzzy recognition of digital pictures. Ontology creation and documen t indexing are well-known bottlenecks for integrating semantic services and for  the Semantic Web, and thus the new method will be able to make automatic creati on of the fish geometric ontology and automatic indexing to existing Semantic We b. Fuzzy set and fuzzy recognition are used to decide wheter a new fish picture  belongs to an existing training set, here with the carp as an example. Training  samples are used to set up fuzzy set and membership functions. The existing way  of fish ontology formation can be integrated with the new method and the existin g work for fish web can be used.

 

Key words-fuzzy set; pattern recognition; ontology; fis h recognition

 

Manuscript Number: 1674-8042(2011)02-0184-04

 

dio: 10.3969/j.issn.1674-8042.2011.02.20

 

References

 

[1]D. J. White, C. Svellingen, N. J. C. Strachan, 2006. Automated measu rement of species and length of fish by computer vision. Fisheries Research, 80( 2-3): 203-210.

[2]Yu-qi Liang, 2008. The research of critical building technologies o f Ontology in Fishery Domain.

[3]Ping Qian, Ye-lu Zheng, 2006. The Research and Application of Agric ultural Ontology. China Agricultural Science and Technology Press, p.51-52.

[4]Marc Roubens, 1978. Pattern classification problems and fuzzy sets.  Fuzzy Sets and Systems, 1(4): 239-253.

[5]Le Peiqi etc, 2000. The Cyprinformes of Osteichyes in China historia  animalium. The Science Press.

[6]Г. В. Nikelisiji, Xue-zu Miu,  Fu-shen Lin, Ming-cheng Tian, 19 58. The categorization of Ichthyology. The Senior Education Press, p.158.
 

 

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