iSMART : intelligent Semantic MedicAl Record reTrival

Presented at: 8th International Semantic Web Conference (ISWC2009)

by Yuan Ni, Guo Tong Xie, Sheng Ping Liu, Han Yu Li, Jing Mei

Webpage: http://kcap09.stanford.edu/share/posterDemos/118/index.html
Webpage: http://kcap09.stanford.edu/share/posterDemos/118/paper118.pdf
Webpage: https://github.com/lidingpku/iswc-archive/raw/master/paper/iswc-2009-poster/118/paper118.pdf

We present iSMART, a system for intelligent Semantic MedicAl Record reTrival. Health Level 7 Clinical Document Architecture (CDA)[4], a standard based on XML, is well recognized for the representation and exchange of medical records. In CDAs, medical ontologies/terminologies, e.g. SNOMED CT[2], are used to specify the semantic meaning of clinical statements. To better use the structure and semantic information in CDAs for a more effective search, we propose and implement the iSMART system. Firstly, we design and implement an XML-to-RDF convertor to extract RDF statements from medical records using declarative mapping. Then, we design a reasoner to infer additional information by integrating the knowledge from the domain ontologies based on the extracted RDF statements. Finally, we index the inferred set of RDF statements and provide the semantic search on them. A demonstration video is available online[1].

Keywords: Semantic Web


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2009/paper/poster_demo/118


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