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KMLOD: linked open data service for Korean medical database

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Abstract

On the Internet, massive amounts of data are being generated every day, which grows the need for effective way of connecting and sharing data on the web. In this paper, we propose an online retrieval system that connects and aggregates data from various sources through linked open data. The main data extracted from a Korean medical article database, called KMbase, are stored in a relational database which requires the need to convert relational data into RDF data. We use linked data approach to connect one data source to another, which allows user to explore the web of data. Additionally, we introduce different approaches linking to different data sources in which different data sources require different linking methods. The results are presented in a user-friendly web application providing features such as searching and visualizing articles. It also provides SPARQL endpoint where users, who are familiar with SPARQL queries, can put different types of query and retrieve the result.

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Notes

  1. http://society.kisti.re.kr/.

  2. http://www.medric.or.kr/.

  3. https://www.ted.com/talks/tim_berners_lee_the_year_open_data_went_worldwide.

  4. http://en.medric.or.kr/.

  5. https://www.w3.org/TR/rdf-sparql-query/.

  6. http://d2rq.org/.

  7. http://virtuoso.openlinksw.com/.

  8. http://ontop.inf.unibz.it/.

  9. http://www.w3.org/TR/r2rml/.

  10. https://github.com/ontop/ontop/wiki/Sesame-SPARQL-endpoint-installation.

  11. https://jena.apache.org/.

  12. http://lod.nl.go.kr/home/application/openapi_intro.jsp.

  13. http://www.hira.or.kr/.

  14. http://opennlp.apache.org/.

  15. http://data.bioontology.org/documentation.

  16. http://bioportal.bioontology.org/ontologies.

  17. projects.spring.io/spring-boot/.

  18. https://github.com/ontop/ontop/wiki/ObdalibSesameApi.

  19. http://www.thymeleaf.org/.

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Acknowledgements

This research was supported by a Grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (Grant Number: HI16C1094), and also supported by Institute for Information and Communications Technology Promotion (IITP) Grant funded by the Korea government (MSIP) (R7117-16-0212, Streaming Bigdata Analysis and Prediction Platform with an Application of Transit Section).

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Authors and Affiliations

  1. Department of MIS, Chungbuk National University, Cheongju, Korea

    PhalPheaktra Chhaya

  2. Department of Bio-Information Technology, Chungbuk National University, Cheongju, Korea

    Chi-Hwan Choi

  3. Department of Business Data Convergence, Chungbuk National University, Cheongju, Korea

    Kyung-Hee Lee

  4. Department of MIS/Business Data Convergence, Chungbuk National University, Cheongju, Korea

    Wan-Sup Cho

  5. Department of Health Informatics and Management, College of Medicine, Graduate School of Health Science Business Convergence, Chungbuk National University, Cheongju, Korea

    Young-Sung Lee

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  1. PhalPheaktra Chhaya
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  2. Chi-Hwan Choi
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  3. Kyung-Hee Lee
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  4. Wan-Sup Cho
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  5. Young-Sung Lee
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Correspondence to PhalPheaktra Chhaya.

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Chhaya, P., Choi, CH., Lee, KH. et al. KMLOD: linked open data service for Korean medical database. J Supercomput 76, 7758–7776 (2020). https://doi.org/10.1007/s11227-017-1970-5

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  • DOI: https://doi.org/10.1007/s11227-017-1970-5

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