Method and system for automatic objects classification
AssigneeNEC (China) Co., Ltd.
InventorsJianqiang Li, Xin Meng, Yu Zhao, Jingwei Shi
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Abstract
The present invention provides a method and system for automatic objects classification. The method comprises: acquiring a set of objects; classifying the objects based on query log to generate a first classification result; classifying the objects based on ontological information to generate a second classification result; and semantically fusing the first and second classification results to generate a final classification result. According to the present invention, compared with the prior arts, by semantically fusing the query log-based classification result and the ontology-based classification result, the accuracy and user-friendness of the object classification can be improved.
Claims13
A method for objects classification, comprising:
- acquiring, by at least one circuit, a set of objects;
- classifying, by the at least one circuit, the objects based on a query log to generate a first classification result;
- classifying, by the at least one circuit, the objects based on ontological information to generate a second classification result;
- and
- semantically fusing, by the at least one circuit, the first and second classification results to generate a final classification result,
- wherein the semantically fusing comprises adding a semantic element of one of the first classification result and the second classification result to the other of the first classification result and the second classification result, and
- wherein the adding comprises:
- tuning at least one of the first classification result according to the second classification result and the second classification result according to the first classification result, and
- integrating, after the tuning, the first and second classification results to generate the final classification result.
A system for objects classification, comprising:
- an object acquiring unit comprising a circuitry for acquiring a set of objects;
- a query log-based classification unit comprising a circuitry for classifying the objects based on a query log to generate a first classification result;
- an ontological information-based classification unit comprising a circuitry for classifying the objects based on ontological information to generate a second classification result;
- and
- a semantic fusing unit comprising a circuitry for semantically fusing the first and second classification results to generate a final classification result, wherein the semantically fusing comprises adding a semantic element of one of the first classification result and the second classification result to the other of the first classification result and the second classification result, and
- wherein the semantic fusing unit tunes at least one of the first classification result according to the second classification result and the second classification result according to the first classification result, and integrates, after the tuning, the first and second classification results to generate the final classification result.
Dependencies are inferred from the claim text.