Relative information capacity of simple relational database schemata
SIAM Journal on Computing
Schema equivalence in heterogeneous systems: bridging theory and practice
Information Systems - Special issue on extending database technology
The TSIMMIS Approach to Mediation: Data Models and Languages
Journal of Intelligent Information Systems - Special issue: next generation information technologies and systems
Managing semantic heterogeneity in databases: a theoretical prospective
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Capability based mediation in TSIMMIS
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
A formalisation of semantic schema integration
Information Systems
Schema integration: past, present, and future
Management of heterogeneous and autonomous database systems
A general formal framework for schema transformation
Data & Knowledge Engineering - Special issue on ER '97
A model for compound type changes encountered in schema evolution
ACM Transactions on Database Systems (TODS)
Theoretical foundations of schema restructuring in heterogeneous multidatabase systems
Proceedings of the ninth international conference on Information and knowledge management
Maintaining knowledge about temporal intervals
Communications of the ACM
The Clio project: managing heterogeneity
ACM SIGMOD Record
Fundamentals of Database Systems
Fundamentals of Database Systems
Correct Schema Transformations
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
The Use of Information Capacity in Schema Integration and Translation
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Schema Evolution in Heterogeneous Database Architectures, A Schema Transformation Approach
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
A Method for Integrating Deductive Databases
BNCOD 15 Proceedings of the 15th British National Conferenc on Databases: Advances in Databases
Semantics of Database Transformations
Selected Papers from a Workshop on Semantics in Databases
A Taxonomy for Schema Versioning Based on the Relational and Entity Relationship Models
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
A Formal Framework for ER Schema Transformation
ER '97 Proceedings of the 16th International Conference on Conceptual Modeling
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
A unifying semantic distance model for determining the similarity of attribute values
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
IEEE Transactions on Knowledge and Data Engineering
Theory of Relational Databases
Theory of Relational Databases
Somebody, Sometime, Somewhere, Something
UDM '05 Proceedings of the International Workshop on Ubiquitous Data Management
Reduce, reuse, recycle: practical approaches to schema integration, evolution and versioning
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
Accommodating mesodata into conceptual modelling methodologies
Information and Software Technology
A unit test approach for database schema evolution
Information and Software Technology
CRISTAL: A practical study in designing systems to cope with change
Information Systems
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Database evolution can be considered a combination of schema evolution, in which the structure evolves with the addition and deletion of attributes and relations, together with domain evolution in which an attribute's specification, semantics and/or range of allowable values changes. We present the results of an empirical investigation of the evolution of a commercial database system that measures and delineates between changes to the database that are (a) structural and (b) attribute domain related. We also estimate the impact that modelling using the mesodata approach would have on the evolving system.