Construction and Publication of Maritime Linked Data Based on Lifecycle Model

DOI

10.2991/snce-18.2018.198How to use a DOI?

Keywords

Linked data lifecycle model; Domain modelling; Maritime linked data; Knowledge discovery

Abstract

The maritime data as one of the most important government data asset has increasingly attracted much of stakeholders’ attention, with transparency and data reuse as two of the major aims. The term Linked Data refers to a set of best practices for publishing and interlinking structure data on the web. Using the methods and technologies within semantic web community, a number of maritime data has been putted on the web as linked data. However, the construction of existing maritime dataset is done without considering the concept of lifecycle, which naturally lies in the linked data itself. The paper makes attempts to propose an Ontology-driven Linked Data Lifecycle Model(OdLDLM) to assist publishing the maritime data on the web as linked data. We first conduct a systematic analysis of the existing lifecycle model, basing on which the modified OdLDLM is given, along with the description of each stage. Especially, we introduce domain model as the first step of our model and the key role of ontology in publishing the linked data is discussed. Taking the voyage data of maritime domain as example, we showcase in detail the process of how to use the proposed model to construct the maritime linked data. Also, a specific knowledge discovery case building on such data is given to demonstrate the additional value of linked data. The result shows that the OdLDLM is valid for publication of maritime linked data and convenient for later expansion and maintenance.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Guan
AU  - Yiduo Liang
PY  - 2018/05
DA  - 2018/05
TI  - Construction and Publication of Maritime Linked Data Based on Lifecycle Model
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 964
EP  - 968
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.198
DO  - 10.2991/snce-18.2018.198
ID  - Guan2018/05
ER  -