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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (1): 81-90    DOI: 10.11925/infotech.2096-3467.2017.01.10
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Linked Data for Mobile Visual Search System of Digital Library
Yunfei Qi1,3(),Yuxiang Zhao2,Qinghua Zhu1
1School of Information Management, Nanjing University, Nanjing 210093, China
2School of Economics & Management, Nanjing University of Science & Technology, Nanjing 210094, China
3Dean’s Office, Henan University of Finance and Economics, Zhengzhou 451464, China
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Abstract  

[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.

Key wordsLinked Data      Digital Library      Mobile Visual Search      Semantic Search      BIBFRAME     
Received: 12 September 2016      Published: 22 February 2017

Cite this article:

Yunfei Qi,Yuxiang Zhao,Qinghua Zhu. Linked Data for Mobile Visual Search System of Digital Library. Data Analysis and Knowledge Discovery, 2017, 1(1): 81-90.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.01.10     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I1/81

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