An Ontology-Based Approach for Marine Geochemical Data Interoperation

Abstract

International deep seabed resource surveys have accumulated a large amount of valuable marine geochemical data. These data, however, derive from a number of autonomous heterogeneous information sources that show the characteristics of big data, i.e., multidisciplinary, multidimensional, multisemantic, and with strong correlations. The traditional database federation method is thus not applicable. To achieve marine geochemical data interoperation, an approach is proposed in this paper. The approach first builds a marine sample ontology (MSO) based on marine geochemical metadata standards. With support of the MSO ontology, which serves as a specification for the semantics and model of multisource heterogeneous data, the data integration and unified query APIs are accomplished across different databases. The experiment is applied with three databases: the ICP-AES database model in the ODP project, the PetDB marine petrology database model compiled at the Lamont-Doherty Earth Observatory, and the GEOROC database model operated by the German Max Planck Institute. The experimental results show that this method not only improves the efficiency of the marine geochemical data integration but also realizes the reuse of data and models under the premise of ensuring the independence, security, and timeliness of the data sources.

Keywords

• Data interoperation
• ontology
• semantic extraction
• semantic mapping