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Service Oriented Computing and Applications

, Volume 12, Issue 3–4, pp 211–226 | Cite as

Provision and consumption of linked open data: a define–produce–invoke approach

  • Shang-Pin MaEmail author
  • Peng-Zhong Chen
  • Wen-Tin Lee
  • Zhi-Wei Lu
Special Issue Paper
  • 91 Downloads

Abstract

Open data is becoming increasingly popular in a wide range of service domains; however, most open datasets in Taiwan remain separate. The lack of linked open data (LOD) makes it difficult to locate and combine open datasets for the creation of innovative applications. In this study, we sought to facilitate the spread of open data in Taiwan using a novel approach referred to as define–produce–invoke (DPI). The proposed scheme employs a newly defined data query language, called LODQL (LOD query language), to allow the definition of rules for the generation of LOD by data experts. We also developed an LOD engine, which is able to produce linked open datasets and allow application developers to access LOD by invoking RESTful services. This scheme also allows data visualizations indicating the relevance of open datasets and the associations among open data items. Experiments demonstrate the feasibility and effectiveness of the proposed DPI approach.

Keywords

Linked data Open data Linked open data Service generation Data consumption Data visualization 

Notes

Acknowledgements

This research was sponsored by Ministry of Science and Technology in Taiwan under the Grant MOST 105-2221-E-019-054-MY3. Special thanks to Mr. Chih Chun Huang for his valuable feedback to our research.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringNational Taiwan Ocean UniversityKeelungTaiwan
  2. 2.Department of Software Engineering and ManagementNational Kaohsiung Normal UniversityKaohsiungTaiwan

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