Open AccessConstruction of Shipping Linked Data Lifecycle Model and Its Application in Semantic Navigation
Author(s) -
Yiduo Liang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/4/042203
Subject(s) - linked data , computer science , data model (gis) , logical data model , semantic data model , data modeling , system lifecycle , application lifecycle management , semantic web , data publishing , data mapping , idef1x , data science , publishing , database , world wide web , software , ontology based data integration , artificial intelligence , political science , law , programming language
As one of the most important government data assets, shipping data has attracted more and more attention from stakeholders. The term linked data refers to a set of best practices for publishing and linking structured data on the web. The application of linked data technology to open the shipping data can promote the transparency and reusability of data. Many shipping data have been placed on the network as linked data. However, the existing construction of shipping linked data does not consider the concept of lifecycle, and the concept of lifecycle naturally lies in the link data itself. Therefore, this paper attempts to propose a linked data lifecycle model to assist in publishing shipping data as linked data on the Web. We first conduct a systematic analysis of the typical lifecycle model. On this basis, a new linked data lifecycle model is proposed, and the role of each step of the model is also explained. In particular, we take domain modeling as the first step of the model and discuss the key role of it in publishing linked data. Taking the voyage data as an example, we show in detail how to use the proposed model to construct shipping linked data. Then, a specific semantic navigation case based on the above data is given to prove the added value of the linked data. The results show that the lifecycle model proposed in this paper is suitable for the publication of shipping data and is convenient for future expansion and maintenance.