DocumentCode :
473302
Title :
Ontology-Aware Search on XML-based Electronic Medical Records
Author :
Farfán, Fernando ; Hristidis, Vagelis ; Ranganathan, Anand ; Burke, Redmond P.
Author_Institution :
Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL
fYear :
2008
fDate :
7-12 April 2008
Firstpage :
1525
Lastpage :
1527
Abstract :
As the use of electronic medical records (EMRs) becomes more widespread, so does the need for effective information discovery on them. Recently proposed EMR standards are XML-based, having as a key characteristic the frequent use of ontological references, i.e., ontological concept codes appear as XML elements and are used to associate portions of the EMR document with concepts defined in a domain ontology. In this paper we present the XOntoRank system which tackles the problem of ontology-aware keyword search on XML documents with a particular focus on EMR XML documents. Our running examples and experiments use the Health Level Seven (HL7) clinical document architecture (CDA) Release 2.0 standard of EMR representation and the systematized nomenclature of human and veterinary medicine (SNOMED) ontology, although the presented techniques and results are applicable to any EMR hierarchical format and any ontology that defines concepts and relationships.
Keywords :
XML; information retrieval; medical information systems; ontologies (artificial intelligence); Health Level Seven; XML document; XOntoRank system; clinical document architecture; electronic medical record; information discovery; ontology-aware keyword search; systematized nomenclature of human and veterinary medicine ontology; Code standards; Hospitals; Humans; Keyword search; Manufacturing; Ontologies; Pediatrics; Taxonomy; Tree graphs; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-1836-7
Electronic_ISBN :
978-1-4244-1837-4
Type :
conf
DOI :
10.1109/ICDE.2008.4497611
Filename :
4497611
Link To Document :
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