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

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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.

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Notes

  1. https://data.fda.gov.tw/frontsite/data/DataAction.do?method=doList.

  2. https://www.imdb.com/interfaces/.

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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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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan

    Shang-Pin Ma, Peng-Zhong Chen & Zhi-Wei Lu

  2. Department of Software Engineering and Management, National Kaohsiung Normal University, Kaohsiung, Taiwan

    Wen-Tin Lee

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  1. Shang-Pin Ma
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  2. Peng-Zhong Chen
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  3. Wen-Tin Lee
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  4. Zhi-Wei Lu
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Correspondence to Shang-Pin Ma.

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Ma, SP., Chen, PZ., Lee, WT. et al. Provision and consumption of linked open data: a define–produce–invoke approach. SOCA 12, 211–226 (2018). https://doi.org/10.1007/s11761-018-0243-3

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  • DOI: https://doi.org/10.1007/s11761-018-0243-3

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