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A web-based 3D ontology navigation system for spinal disease diagnosis

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Abstract

This paper presents a web-based three-dimensional (3D) navigation system for a spinal disease ontology using a 3D virtual human spine. The 3D navigation system consists of three main modules: a query module for finding spinal diseases and their causes and treatments from the spinal disease ontology via a web page, a 3D rendering module for rendering the virtual human spine on a web browser, and a visualization module to view the retrieved ontology information by connecting it with the virtual human spine. It was implemented using Virtuosos SPARQL, Java, JavaScript, Jena API, JDBC, AJAX, HTML5, WebGL, and SVG using a Virtuoso server on the Web via JSP web pages. Spine specialists can navigate and simulate spinal diseases using the 3D navigation system via virtual experiments based on the ontological interrelations, allowing them to make more accurate diagnoses of spinal diseases.

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Acknowledgements

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2014R1A1A2055379) and by the MSIP(Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2016-H8501-16-1013) supervised by the IITP(Institute for Information & communication Technology Promotion).

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Authors and Affiliations

  1. Department of Digital Informatics and Convergence, Chungbuk National University, 1 Chungdaero, Seowongu, Cheongju, Chungbuk, 28644, South Korea

    Ji-Seong Jeong, Min-Ho Song & Kwan-Hee Yoo

  2. Software Research Center, Korea Institute of Science and Technology Information, 245 Daehakro, Yuseonggu, Daejeon, 34141, South Korea

    Sang-Ho Lee

  3. Department of Computer Science and Engineering, Catholic University of Daegun, 13-13 Hayangro, Kyungpook, 38430, South Korea

    Mihye Kim

  4. School of Computer Science and Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, South Korea

    Nakhoon Baek

  5. Department of Computer Science, Chungbuk National University, 1 Chungdaero, Seowongu, Cheongju, Chungbuk, 28644, South Korea

    Kwan-Hee Yoo

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  1. Ji-Seong Jeong
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  2. Min-Ho Song
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  3. Sang-Ho Lee
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  4. Mihye Kim
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  6. Kwan-Hee Yoo
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Correspondence to Kwan-Hee Yoo.

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Jeong, JS., Song, MH., Lee, SH. et al. A web-based 3D ontology navigation system for spinal disease diagnosis. J Supercomput 75, 4505–4518 (2019). https://doi.org/10.1007/s11227-017-1975-0

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