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

Ji Seong Jeong, Min Ho Song, Sang Ho Lee, Mihye Kim, Nakhoon Baek, Kwan Hee Yoo

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)4505-4518
Number of pages14
JournalJournal of Supercomputing
Volume75
Issue number8
DOIs
StatePublished - 1 Aug 2019

Keywords

  • Ontology
  • Ontology navigation
  • Ontology visualization
  • Spinal disease ontology
  • Web-based 3D ontology navigation system

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