Research on Semantic Aggregation of Shipping Digital Resources Based on Linked Data

Jun Zhai, Yiduo Liang, Changfeng Yuan
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Abstract

With the advent of the era of big data, governments of all countries have successively proposed their own big data development strategies. “Open government data” is one of the important measures. In the Open Data Charter jointly signed by the G8 in 2013, “Transportation” was listed as one of the 14 high-value open fields, and marine, as the largest cargo carrier in the transport sector, has advantages over air and land transport, becoming the focus of open government data around the world. At present, China's maritime open data has problems such as low openness, heterogeneous multi-sources, and data fragmentation. In order to further enhance the openness of maritime data, explore its potential value, and promote its effective use, this paper attempts to use the relevant technologies of semantic web to build maritime linked open data and establish its semantic aggregation application of data resources. The research work in this paper provides a practical and feasible method for the government to further promote the opening of maritime data. It also provides reference for the open data practice in other fields.
基于关联数据的航运数字资源语义聚合研究
随着大数据时代的到来,各国政府纷纷提出了各自的大数据发展战略。“政府数据公开”是其中一项重要举措。在2013年八国集团联合签署的《开放数据宪章》中,“交通运输”被列为14个高价值开放领域之一,而海洋作为运输领域中最大的货物载体,相对于空运和陆运具有优势,成为全球开放政府数据的重点。目前,中国海上开放数据存在开放性低、多源异构、数据碎片化等问题。为了进一步增强海事数据的开放性,挖掘其潜在价值,促进其有效利用,本文尝试利用语义网的相关技术构建海事互联开放数据,并建立其对数据资源的语义聚合应用。本文的研究工作为政府进一步推进海事数据开放提供了一种切实可行的方法。为其他领域的开放数据实践提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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