Semantic Bridge for Resolving Healthcare Data Interoperability
Fahad Ahmed Satti, Wajahat Ali Khan, Taqdir Ali, Jamil Hussain, Hyeong Won Yu, Seoungae Kim, Sungyoung Lee
Abstract
Data Interoperability is a critical part of achieving healthcare interoperability. In this paper, we present a novel methodology for automating the schema matching process at attribute level, among three non-standard and serialized schemas. We achieved 71.8% mappings, using a four stage process with string matching, longest common substring matching using suffix tree, and ConceptNet lookup.
Topics & Concepts
InteroperabilityComputer scienceSubstringSemantic interoperabilitySchema (genetic algorithms)Matching (statistics)Suffix treeString searching algorithmSchema matchingInformation retrievalDatabasePattern matchingData structureData integrationArtificial intelligenceProgramming languageWorld Wide WebStatisticsMathematicsBiomedical Text Mining and OntologiesData Quality and ManagementElectronic Health Records Systems