Puget, Antoine (2008) Spatial-Symbolic Query Engine in Anatomy. Masters thesis, Royal Institute of Technology, Stockholm, Sweden.
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Abstract
To date there is a lack of a query processor that can access and manage spatial anatomical
knowledge for use in anatomy education and clinical practice. Such knowledge can derive from labeled
2D images that a spatial query processor can build into 3D models which can be reasoned with for
spatial information. In this case, the thorax is used as proof of concept. The processor can answer
questions like: 'Which structures are anterior to the heart?', thanks to spatial relations (e.g. anterior)
provided and defined by an anatomist and integrated into the system. A spatial-symbolic query engine is
a web service that accepts a combined symbolic and spatial query in a semantic web query language. In
order to answer any query, it parses the query and sends appropriate sub-queries to an existing query
processor for the Foundational Model of Anatomy (FMA) ontology, and a spatial query engine related to
a spatial database, which is built with pre-computed results from the spatial query processor, the web
service quality of which relies significantly on the accuracy and consistency of the data. With further
requirements and enhancements, this spatial-symbolic query engine promises potential practical utility
for obtaining and navigating spatial data not only for anatomy but for other biomedical and non-
biomedical domains as well.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | anatomy information systems |
| Subjects: | All Projects > Spatial Symbolic Query Engine |
| Depositing User: | Jim Brinkley |
| Date Deposited: | 10 Dec 2008 |
| Last Modified: | 20 Jul 2017 17:44 |
| URI: | http://sigpubs.si.washington.edu/id/eprint/233 |
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