Home >> Publication
The Journal of Supercomputing
2019년 75권 8호 p.4505 ~ p.4518
A web-based 3D ontology navigation system for spinal disease diagnosis
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
- Abstract -
ISSN: 0920-8542 (Print)
Impact Factor : 2.157

This paper presents a web-based three-dimensional (3D) navigation system
for a spinal disease ontology using a 3Dvirtual human spine. The 3Dnavigation 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 SVGusing aVirtuoso server on theWeb 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.
- Key Words -
Ontology · Spinal disease ontology · Ontology navigation · Ontology visualization · Web-based 3D ontology navigation system
Ontology · Spinal disease ontology · Ontology navigation · Ontology visualization · Web-based 3D ontology navigation system
- 논문 구분 -
국외전문학술지, SCI
- 사사 정보 -
This researchwas supported by Basic Science Research Program through theNational 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).
- Downloads -
Jeong2019_Article_AWeb-based3DOntologyNavigation.pdf