2020
Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events
Li F, Du J, He Y, Song H, Madkour M, Rao G, Xiang Y, Luo Y, Chen H, Liu S, Wang L, Liu H, Xu H, Tao C. Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events. Journal Of The American Medical Informatics Association 2020, 27: 1046-1056. PMID: 32626903, PMCID: PMC7647306, DOI: 10.1093/jamia/ocaa058.Peer-Reviewed Original ResearchConceptsTime Event OntologyComplex temporal relationsEvent ontologyNatural language processing fieldTemporal relationsTime-related queriesInformation annotationProcessing fieldTemporal informationData propertiesRelation representationClinical narrativesSemantic representationElectronic health record dataRich setHealth record dataOntologyStrong capabilityReasoningSetQueriesOrder relationRecord dataRepresentationPrimitives
2006
SemBiosphere: a semantic web approach to recommending microarray clustering services.
Yip KY, Qi P, Schultz M, Cheung DW, Cheung KH. SemBiosphere: a semantic web approach to recommending microarray clustering services. Biocomputing 2006, 188-99. PMID: 17094239.Peer-Reviewed Original ResearchConceptsWeb servicesXML-based Web servicesSemantic Web approachVariety of algorithmsGene expression data analysisExpression data analysisWeb approachOntological languageMatchmaking systemDifferent platformsData propertiesParticular taskAlgorithmNew algorithmDifferent languagesOntologyStandard waySuitable onePopular methodServicesLanguageData analysisLarge numberMicroarray dataDownload
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply