%A Qi Yunfei,Zhao Yuxiang,Zhu Qinghua %T Linked Data for Mobile Visual Search System of Digital Library %0 Journal Article %D 2017 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2017.01.10 %P 81-90 %V 1 %N 1 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4315.shtml} %8 2017-01-25 %X

[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.