{"title":"Research on Semantic Aggregation of Shipping Digital Resources Based on Linked Data","authors":"Jun Zhai, Yiduo Liang, Changfeng Yuan","doi":"10.1109/ICSSSM.2019.8887698","DOIUrl":null,"url":null,"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.","PeriodicalId":442421,"journal":{"name":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2019.8887698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.