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Construction and Application of Maritime Linked Open Data in China

Published: 08 June 2016 Publication History

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.

References

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Linked Data. {Online}. Available at http://www.w3.org/DesignIssues/LinkedData.html.
[2]
Putting government data online. {Online}. Available at http://www.w3.org/DesignIssues/GovData.html.
[3]
Boer, V. D., Rossum, M. V., Leinenga, J., and Hoekstra, R. 2014. Dutch Ships and Sailors Linked Data. In Proceedings of the Semantic Web -- ISWC 2014(Riva del Garda, Italy, October 19--23, 2014). Springer International Publishing, 229--244. DOI= 10.1007/978-3-319-11964-9_15.
[4]
Van Hage, W. R., Malaisé, V., Erp, M. V. 2011. Linked open piracy. J. Journal on Data Semantics. 1, 3 (January. 2011), 167--168. DOI= 10.1145/1999676.1999708.
[5]
Attard, J., Orlandi, F., Scerri, S. and Auer, S. 2015. A systematic review of open government data initiatives. J. Government Information Quarterly. 32, 4 (October. 2015), 399--418. DOI= 10.1016/j.giq.2015.07.006.

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Published In

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dg.o '16: Proceedings of the 17th International Digital Government Research Conference on Digital Government Research
June 2016
532 pages
ISBN:9781450343398
DOI:10.1145/2912160
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 June 2016

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Author Tags

  1. Domain Modeling
  2. Knowledge Discovery
  3. Maritime Linked Open Data

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  • Refereed limited

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dg.o '16

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Overall Acceptance Rate 150 of 271 submissions, 55%

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