An ontology navigation system for 3D spinal model

Cited 0 time in webofscience Cited 1 time in scopus
  • Hit : 242
  • Download : 0
The Korean Institute of Science and Technology Information (KISTI) has recently constructed a spinal disease ontology, in cooperation with the Catholic University of Korea, to establish a simulation model to support the diagnosis of age-related spinal disorders. Here we present a web-based three-dimensional (3D) navigation system for this spinal disease ontology to enable users to make more accurate diagnoses of vertebral column diseases by enhanced reasoning capabilities, using a 3D virtual human spine. The navigation system is composed of three main modules: a query module, which retrieves the data from the spinal disease ontology via a web page, a 3D rendering module, which displays a 3D virtual spine using a web browser, and a visualization module that represents the ontological information in response to a query by connecting it with the virtual spine.
Publisher
Association for Computing Machinery
Issue Date
2015-10
Language
English
Citation

2015 International Conference on Big Data Applications and Services, BigDAS 2015, pp.277 - 279

DOI
10.1145/2837060.2837115
URI
http://hdl.handle.net/10203/272318
Appears in Collection
RIMS Conference Papers
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0