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Numrering	Referens	Omslagsbild	Hitta
1.	Sundvall, Erik, 1973-, et al. (författare) Interactive Visualization and Navigation of Complex Terminology Systems, Exemplified by SNOMED CT 2006 Ingår i: Ubiquity. - : IOS Press. - 9781586036478 ; , s. 851-856 Konferensbidrag (refereegranskat)abstract Free-text queries are natural entries into the exploration of complex terminology systems. The way search results are presented has impact on the users ability to grasp the overall structure of the system. Complex hierarchies like the one used in SNOMED CT, where nodes have multiple parents (IS-A) and several other relationship types, makes visualization challenging. This paper presents a prototype, Term Viz, applying well known methods like "focus+context" and self-organizing layouts from the fields of Information Visualization and Graph Drawing to terminologies like SNOMED CT and ICD-10. The user can simultaneously focus on several nodes in the terminologies and then use interactive animated graph navigation and semantic zooming to further explore the terminology systems without loosing context. The prototype, based on Open Source Java components, demonstrates how a number of Information Visualisation methods can aid the exploration of medical terminologies with millions of elements and can serve as a base for further development.

Sundvall, Erik, 1973-, et al. (författare)
Interactive Visualization and Navigation of Complex Terminology Systems, Exemplified by SNOMED CT
2006
Ingår i: Ubiquity. - : IOS Press. - 9781586036478 ; , s. 851-856
Konferensbidrag (refereegranskat)abstract
- Free-text queries are natural entries into the exploration of complex terminology systems. The way search results are presented has impact on the users ability to grasp the overall structure of the system. Complex hierarchies like the one used in SNOMED CT, where nodes have multiple parents (IS-A) and several other relationship types, makes visualization challenging. This paper presents a prototype, Term Viz, applying well known methods like "focus+context" and self-organizing layouts from the fields of Information Visualization and Graph Drawing to terminologies like SNOMED CT and ICD-10. The user can simultaneously focus on several nodes in the terminologies and then use interactive animated graph navigation and semantic zooming to further explore the terminology systems without loosing context. The prototype, based on Open Source Java components, demonstrates how a number of Information Visualisation methods can aid the exploration of medical terminologies with millions of elements and can serve as a base for further development.

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