Fuzzy Recognition Method for Fish Ontology Retrieving

This paper presents a new method based on ontology formation and fuzzy recognition of digital pictures.Ontology creation and document 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 creation of the fish geometric ontology and automatic indexing to existing Semantic Web.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 existing work for fish web can be used.

This paper presents a new method based on ontology formarion and fuzzy recognition of digital pictures. Ontology creation and doormat indexing are well-kown bottlenecks for integrating semantic services and for the Semantic Web, and thus the new method will be able to make automatic creation of the fish geometric ontology and automatic indexing to existing Semantic Web. 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 ing 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 existing work for fish web can be used.