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dc.contributor.authorHussain, Sajjad
dc.contributor.authorSun, Hong
dc.contributor.authorSinaci, Ali Anil
dc.contributor.authorLaleci, Gokce Banu
dc.contributor.authorMead, Charles
dc.contributor.authorGray, Alasdair
dc.contributor.authorMcGuinness, Deborah
dc.contributor.authorPrud'hommeaux, Eric
dc.contributor.authorDaniel, Christel
dc.contributor.authorForsberg, Kerstin
dc.date.accessioned2022-02-18T02:34:46Z
dc.date.available2022-02-18T02:34:46Z
dc.date.issued2014-08-31
dc.identifier.other99
dc.identifier.urihttps://www.researchgate.net/publication/265093332_A_Framework_for_Evaluating_and_Utilizing_Medical_Terminology_Mappings
dc.identifier.urihttps://hdl.handle.net/20.500.13015/4501
dc.descriptionpages 594 - 598
dc.description.abstractUse of medical terminologies and mappings across them are considered to be crucial pre-requisites for achieving interoperable eHealth applications. Built upon the outcomes of several research projects, we introduce a framework for evaluating and utilizing terminology mappings that offers a platform for i) performing various mappings strategies, ii) representing terminology mappings together with their provenance information, and iii) enabling terminology reasoning for inferring both new and erroneous mappings. We present the results of the introduced framework from SALUS project where we evaluated the quality of both existing and inferred terminology mappings among standard terminologies.
dc.titleA Framework for Evaluating and Utilizing Medical Terminology Mappings


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