A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Semantic vs. structural resemblance of classes
ACM SIGMOD Record
Object orientation in multidatabase systems
ACM Computing Surveys (CSUR)
A Structure Based Schema Integration Methodology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Integration Issues in Information System Reengineering
COMPSAC '96 Proceedings of the 20th Conference on Computer Software and Applications
Benchmarking k-nearest neighbour imputation with homogeneous Likert data
Empirical Software Engineering
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This paper aims to partially automate the detection of conflicts among Application Protocols (APs) of the STEP data exchange standard. It is based on a proposed model for measuring the similarity between two data entities represented in the data modelling language EXPRESS. The similarity model considers both structural factors and attribute similarity. Structural factors include the depth of the inheritance hierarchy, supertype subtype relations, subtype subtype relations, and subtype inclusiveness. The information gathered during similarity/conflict detection can then be used to generate automatically a partial mapping between the APs in question.