Information Retrieval by Image Recognition Using Ontology Mapping with Neural Networks

نویسندگان

  • M. Mao
  • Y. Peng
چکیده

Abstract— To expand ontology meanings, an effective ontology mapping approach is needed to map related or similar knowledge from heterogeneous sources together. Especially, the mapping approach also can be applied to support image recognition in order to enhance its retrieval information. In this paper, we propose the ontology mapping with back propagation method to learn image objects, and link to their personal information to increase the completeness of user inquiry. In our approach, we adopt the multilayer feed-forward neural network couple with back propagation algorithm to learn the image patterns, store their similarity values, check and map with target images, and link to their target information from knowledge domains at the final process. Our experiments clearly present the accuracy of overall testing which can reach to 81.3%.

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تاریخ انتشار 2013