Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2837060.2837115 | Proceedings of the 2015 International Conference on Big Data Applications and Services |
DocType | ISBN | Citations |
Conference | 978-1-4503-3846-2 | 1 |
PageRank | References | Authors |
0.40 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Min-Ho Song | 1 | 1 | 0.73 |
| Ji-Sung Jung | 2 | 1 | 0.40 |
| Mihye Kim | 3 | 74 | 14.31 |
| Sang-Ho Lee | 4 | 1 | 0.40 |
| Sung-Soo Choi | 5 | 1 | 0.40 |
| Eun-Suk Choi | 6 | 1 | 0.73 |
| Chankhihort-Doung | 7 | 1 | 0.40 |
| Kwan-Hee Yoo | 8 | 2 | 5.14 |