Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.datak.2005.07.005
DC FieldValue
dc.titleAn ontology based approach to the integration of entity-relationship schemas
dc.contributor.authorHe, Q.
dc.contributor.authorLing, T.W.
dc.date.accessioned2013-07-04T07:32:15Z
dc.date.available2013-07-04T07:32:15Z
dc.date.issued2006
dc.identifier.citationHe, Q., Ling, T.W. (2006). An ontology based approach to the integration of entity-relationship schemas. Data and Knowledge Engineering 58 (3) : 299-326. ScholarBank@NUS Repository. https://doi.org/10.1016/j.datak.2005.07.005
dc.identifier.issn0169023X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39025
dc.description.abstractIn schema integration, schematic discrepancies occur when data in one database correspond to metadata in another. We explicitly declare the context that is the meta information relating to the source, classification, property etc. of entities, relationships or attribute values in entity-relationship (ER) schemas. We present algorithms to resolve schematic discrepancies by transforming metadata into the attribute values of entity types, keeping the information and constraints of original schemas. Although focusing on the resolution of schematic discrepancies, our technique works seamlessly with the existing techniques resolving other semantic heterogeneities in schema integration. © 2005 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.datak.2005.07.005
dc.sourceScopus
dc.subjectEntity-relationship approach
dc.subjectOntology
dc.subjectSchema integration
dc.subjectSchematic discrepancy
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1016/j.datak.2005.07.005
dc.description.sourcetitleData and Knowledge Engineering
dc.description.volume58
dc.description.issue3
dc.description.page299-326
dc.description.codenDKENE
dc.identifier.isiut000239263100005
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