Linked data-based semantic integration for digital museum
Yi Jun · Journal of Beijing University of Chemical Technology · 2014
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.