{"title":"Construction and Application of Maritime Linked Open Data in China","authors":"Yiduo Liang, Jun Zhai","doi":"10.1145/2912160.2912229","DOIUrl":null,"url":null,"abstract":"The maritime data as one of the most important government data assets has increasingly attracted much of stakeholders' attention, with transparency and data reuse as two of the major aims. Using the methods and technologies within semantic web community, a number of maritime data has been putted on the web as linked open data. However, the construction of existing maritime dataset is done without considering the step of domain modeling, which naturally lies in the linked data itself. The paper makes attempts to introduce domain modeling to assist publishing the maritime data on the web as linked data. Basing of which, we showcase a knowledge discovery of linked maritime data. The work here has a meaning research value and can be seen as a reference by other digital government cases.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2912160.2912229","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
The maritime data as one of the most important government data assets has increasingly attracted much of stakeholders' attention, with transparency and data reuse as two of the major aims. Using the methods and technologies within semantic web community, a number of maritime data has been putted on the web as linked open data. However, the construction of existing maritime dataset is done without considering the step of domain modeling, which naturally lies in the linked data itself. The paper makes attempts to introduce domain modeling to assist publishing the maritime data on the web as linked data. Basing of which, we showcase a knowledge discovery of linked maritime data. The work here has a meaning research value and can be seen as a reference by other digital government cases.