Enabling sustainable access to marine knowledge: Collection and integration of marine geochemical data

Accompanied with the evolution of sea floor exploration technologies, marine samples and corresponding geochemical data increased dramatically. These distributed data interconnected together within complex and evolving relationship. Heterogeneity of format, syntax and semantic becomes obstacle to knowledge integration, transmission and sharing. In order to collect and integrate these fragmented piece of knowledge, this paper proposes an automatic approach based on semantic extraction and semantic matching technique. The approach is applied to marine geochemical data originated from Cruises of Chinese international deep seabed resource survey. Experimental results show that our approach not only reduces the workload of data integration, but also immensely eliminates semantic heterogeneity.