An Image Data Query Algorithm Based on Ontology and Singular Value Decomposition

An image data query algorithm based on Latent Semantic Indexing in domain ontology and singular value decomposition is proposed. It projects query expansion vector on latent semantic area. A new method to computing similarity between query vectors and query documents is proposed. Users can get accurate and effective retrieval results using the similarity. The experimental results show that the proposed solution can improve image index query recall ratio and precision ratio.