ER model clustering as an aid for user communication and documentation in database design
Communications of the ACM
Research directions in software composition
ACM Computing Surveys (CSUR)
Compositional refinement of interactive systems
Journal of the ACM (JACM)
Handbook of graph grammars and computing by graph transformation: vol. 2: applications, languages, and tools
Entity-Relationship Modeling: Foundations of Database Technology
Entity-Relationship Modeling: Foundations of Database Technology
Metapattern: Context and Time in Information Models
Metapattern: Context and Time in Information Models
Decomposition of Database Classes under Path Functional Dependencies and Onto Constraints
FoIKS '00 Proceedings of the First International Symposium on Foundations of Information and Knowledge Systems
Framework For Automatic Clustering of Semantic Models
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
Modelling Data Warehouses and OLAP Applications by Means of Dialogue Objects
ER '99 Proceedings of the 18th International Conference on Conceptual Modeling
A theory of mixin modules: basic and derived operators
Mathematical Structures in Computer Science
ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
Linguistic based search facilities in snowflake-like database schemes
Data & Knowledge Engineering - NLDB2002
Component-driven engineering of database applications
APCCM '06 Proceedings of the 3rd Asia-Pacific conference on Conceptual modelling - Volume 53
Engineering database component ware
TEAA'06 Proceedings of the 2nd international conference on Trends in enterprise application architecture
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Principles of database modeling have been intensively investigated in the late 70ies or early 80ies. The principles have been based on constructs such as subtypes, supertypes, restructuring through normalization, types construction by constructors, generic models and associations with pre-specified semantical meaning such as relationship types. Whenever a schema is becoming too large schema developers get lost in the web of types. The classical approach is a repair approach, i.e., whenever a schema becomes too large then use techniques for surveying. This paper aims in developing general principles for pragmatistic development of large database schemata: many-dimensionality, star and snowflake sub-schemata, bridges, nesting, lifespan, logs, meta-characterizations, variants and occurrences, quality, temporality and abstraction layers. Therefore, this approach allows to treat the 'lost on the schema' problem in parallel to development.