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【目的】提出一种具有语义发现功能的移动视觉搜索方法,实现数字图书馆视觉资源内容和语义信息的全搜索。【方法】采用BIBFRAME、关联数据和图像处理技术获取视觉资源的语义信息和特征信息,通过关联数据对特征信息和语义信息进行关联,实现移动视觉搜索和语义搜索的融合。【结果】实验结果表明,系统较好地实现了对视觉资源内容和语义的搜索,弥补了传统移动视觉搜索在语义方面的不足。【局限】系统在检索效率上还存在不足,特征处理算法和SPARQL检索过程还需要进一步优化。【结论】本文提出的移动视觉搜索系统能够较好地实现视觉资源内容和语义的关联与搜索,为数字图书馆语义信息发掘和服务模式创新提供了一种新的方式。
【Objective】 This paper proposes a mobile visual search method with semantic discovery function to realize the full search of visual resource contents and semantic information in digital library. 【Method】 Semantic information and feature information of visual resources were obtained by using BIBFRAME, related data and image processing technology. Correlation between feature information and semantic information was carried out by associating data to realize the integration of mobile visual search and semantic search. 【Result】 The experimental results show that the system can achieve the search of content and semantics of visual resources well and make up for the lack of semantics of traditional mobile visual search. [Limitations] There are still some deficiencies in the retrieval efficiency of the system. Feature processing algorithms and SPARQL retrieval process need to be further optimized. 【Conclusion】 The mobile visual search system proposed in this paper can achieve the correlation and search of visual resource contents and semantics well and provide a new way for the digital library to semantic information exploration and service model innovation.