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

doi:10.1007/s11227-017-1975-0

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

Chungbuk National University
Korea Institute of Science and Technology Information
Catholic University of Daegun

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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 language	English
Pages (from-to)	4505-4518
Number of pages	14
Journal	Journal of Supercomputing
Volume	75
Issue number	8
DOIs	https://doi.org/10.1007/s11227-017-1975-0
State	Published - 1 Aug 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

Access to Document

10.1007/s11227-017-1975-0

Cite this

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title = "A web-based 3D ontology navigation system for spinal disease diagnosis",

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.",

keywords = "Ontology, Ontology navigation, Ontology visualization, Spinal disease ontology, Web-based 3D ontology navigation system",

author = "Jeong, \{Ji Seong\} and Song, \{Min Ho\} and Lee, \{Sang Ho\} and Mihye Kim and Nakhoon Baek and Yoo, \{Kwan Hee\}",

note = "Publisher Copyright: {\textcopyright} 2017, Springer Science+Business Media New York.",

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language = "English",

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AU - Song, Min Ho

AU - Lee, Sang Ho

AU - Kim, Mihye

AU - Baek, Nakhoon

AU - Yoo, Kwan Hee

PY - 2019/8/1

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N2 - 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.

AB - 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.

KW - Ontology

KW - Ontology navigation

KW - Ontology visualization

KW - Spinal disease ontology

KW - Web-based 3D ontology navigation system

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

Abstract

UN SDGs

Keywords

Access to Document

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