【目的】提出一種具有語義發現功能的移動視覺搜索方法,實現數字圖書館視覺資源內容和語義信息的全搜索。【方法】采用BIBFRAME、關聯數據和圖像處理技術獲取視覺資源的語義信息和特征信息,通過關聯數據對特征信息和語義信息進行關聯,實現移動視覺搜索和語義搜索的融合。【結果】實驗結果表明,系統較好地實現了對視覺資源內容和語義的搜索,彌補了傳統移動視覺搜索在語義方面的不足。【局限】系統在檢索效率上還存在不足,特征處理算法和SPARQL檢索過程還需要進一步優化。【結論】本文提出的移動視覺搜索系統能夠較好地實現視覺資源內容和語義的關聯與搜索,為數字圖書館語義信息發掘和服務模式創新提供了一種新的方式。

[Objective]This paper proposes a new method for the mobile visual search,which retrieves the visual and semantic information from the digital library simultaneously.[Methods]First, we used the BIBFRAME, linked data and image processing techniques to extract the semantic and characteristics information from the visual resources. Second, we combined the visual and semantic search with the help of linked data.[Results]The proposed method improved the performance of visual and semantic information retrieval.[Limitations]The system efficiency, the algorithm for feature identification, and the SPARQL retrieval procedure needed to be optimized.[Conclusions]The proposed method could successfully search visual and semantic information, which might create more innovative services for the digital library.