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Spatial-Symbolic Query Engine in Anatomy

Puget, Antoine (2008) Spatial-Symbolic Query Engine in Anatomy. MS Thesis, Computer and Systems Sciences, Royal Institute of Technology, Stockholm, Sweden.

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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
Keywords:anatomy information systems
Subjects:SIG Publications
ID Code:233
Deposited By:Brinkley, Jim
Deposited On:10 December 2008