一种基于关联数据的数字博物馆语义融合方法

Linked data-based semantic integration for digital museum

综合利用概念识别聚类、关联性检测、相似度计算等手段,提出一种适合于数字博物馆领域的语义自动关联融合方法,将关联数据集间的语义互联转换为概念相似度的数学运算。将此方法应用于博物馆领域进行语义融合,实验结果表明,该方法能构建丰富的语义关联且正确率较高;此外使用图形用户界面对关联的结果进行人工审查,进一步保证了关联链接的质量。

With the rapid development of linked data in digital museums,research on interlinking between linked data-based datasets has become a focus of attention. In the light of the existing problems with current methods,herein we propose a semantic integration method for digital museumd,which successfully converts interlinking between linked data-based datasets into an arithmetical operation of concept similarity by using concept identification,correlation detection,and concept similarity calculations. The method in this paper was applied to semantic integration in museums,and the experimental results show that it can build rich semantic associations with good accuracy.Moreover,the user interface is designed so that it can check matching results to ensure the quality of links.