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소아 및 종양 핵의학 영상판독에서 RDF/OWL 데이터의 유용성

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dc.contributor.author황경훈-
dc.contributor.author이해준-
dc.contributor.author고건-
dc.contributor.author최덕주-
dc.contributor.author선용한-
dc.date.available2020-02-28T13:42:17Z-
dc.date.created2020-02-12-
dc.date.issued2015-
dc.identifier.issn1229-0807-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/11408-
dc.description.abstractRecently, the structured data format in RDF/OWL has played an increasingly vital role in the semantic web. We converted pediatric and oncologic nuclear medicine imaging reports in free text into RDF/OWL format and evaluated the usefulness of nuclear medicine imaging reports in RDF/OWL by comparing SPARQL query results with the manually retrieved results by physicians from the reports in free text. SPARQL query showed 95% recall for simple queries and 91% recall for dedicated queries. In total, SPARQL query retrieved 93% (51 lesions of 55) recall and 100% precision for 20 clinical query items. All query results missed by SPARQL query were of some inference. Nuclear medicine imaging reports in the format of RDF/OWL were very useful for retrieving simple and dedicated query results using SPARQL query. Further study using more number of cases and knowledge for inference is warranted.-
dc.language한국어-
dc.language.isoko-
dc.publisher대한의용생체공학회-
dc.relation.isPartOf의공학회지-
dc.title소아 및 종양 핵의학 영상판독에서 RDF/OWL 데이터의 유용성-
dc.title.alternativeUsefulness of RDF/OWL Format in Pediatric and Oncologic Nuclear Medicine Imaging Reports-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass2-
dc.identifier.bibliographicCitation의공학회지, v.36, no.4, pp.128 - 134-
dc.identifier.kciidART002027074-
dc.citation.endPage134-
dc.citation.startPage128-
dc.citation.title의공학회지-
dc.citation.volume36-
dc.citation.number4-
dc.contributor.affiliatedAuthor황경훈-
dc.contributor.affiliatedAuthor이해준-
dc.contributor.affiliatedAuthor고건-
dc.contributor.affiliatedAuthor최덕주-
dc.contributor.affiliatedAuthor선용한-
dc.subject.keywordAuthorNuclear medicine-
dc.subject.keywordAuthorImaging report-
dc.subject.keywordAuthorRDF/OWL-
dc.subject.keywordAuthorSPARQL query-
dc.description.journalRegisteredClasskci-
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