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