Semantic Web Dog Food

Presented at: 10th International Semantic Web Conference (ISWC2011)

by Thomas Steiner

Skeletal dysplasias comprise a group of genetic diseasescharacterized by highly complex, heterogeneous and sparse data. Performingefficient and automated knowledge discovery in this domain poses seriouschallenges, one of the main issues being the lack of a proper formalization.Semantic Web technologies can, however, provide the appropriate means forencoding the knowledge and hence enabling complex forms of reasoning. Weaim to develop decision support methods in the skeletal dysplasia domain byapplying uncertainty reasoning over Semantic Web data. More specifically, wedevise techniques for semi-automated diagnosis and key disease featureinferencing from an existing pool of patient cases – that are shared anddiscussed in the SKELETOME community-driven knowledge curationplatform. The outcome of our research will enable clinicians and researchers toacquire a critical mass of structured knowledge that will sustain a betterunderstanding of these genetic diseases and foster advances in the field.

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2011/paper/doctoral-consortium/3

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