Semantic Web Dog Food

Presented at: 7th International Semantic Web Conference (ISWC2008)

by Tamás Hauer, Dmitry Rogulin, Sonja Zillner, Andrew Branson, Jetendr Shamdasani, Alexey Tsymbal, Martin Huber, Tony Solomonides, Richard McClatchey

Medical ontologies have become the standard means of record- ing and accessing conceptualized biological and medical knowledge. The expressivity of these ontologies goes from simple concept lists through taxonomies to formal logical theories. In the context of patient informa- tion, their application is primarily annotation of medical (instance) data. To exploit higher expressivity, we propose an architecture which allows for reasoning on patient data using OWL DL ontologies. The implemen- tation is carried out as part of the Health-e-Child platform prototype. We discuss the use case where ontologies establish a hierarchical clas- sification of patients which in turn is used to aid the visualization of patient data. We briefly discuss the treemap-based patient viewer which has been evaluated in the Health-e-Child pro ject.

Keywords: Ontology, mediacal knowledge

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2008/paper/in_use/33

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