A novel Chinese polar knowledge repository based on polar data-sharing ontology

Abstract

In order to archive and utilize the information from Chinese polar expeditions to the greatest extent, we design a novel knowledge repository, in which an automatic query model based on neural networks is proposed and a data call trigger is established to keep data consistent between polar data-sharing platforms. And in this repository, anybody can make contributions to the repository by creating or updating entries with version control and an authority control mechanism. In this paper, the data sources, data processes and network structure of this repository are described, and the keywords extraction and decision support operation are detailed. The analysis of this design's feasibility and applicability indicates that this knowledge repository is open, sole and authoritative for Chinese polar expeditions.