A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
On knowledge base management systems: integrating artificial intelligence and d atabase technologies
The object-oriented classification paradigm
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Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
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SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
ACM Computing Surveys (CSUR)
Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Database abstractions: aggregation and generalization
ACM Transactions on Database Systems (TODS)
Database System Concepts
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Understanding semantic relationships
The VLDB Journal — The International Journal on Very Large Data Bases
Association: A Database Abstraction for Semantic Modelling
ER '81 Proceedings of the Second International Conference on the Entity-Relationship Approach to Information Modeling and Analysis
Abstraction Concepts: The Basis for Data and Knowledge Modeling
Proceedings of the Seventh International Conference on Enity-Relationship Approach: A Bridge to the User
Modeling Semantics with Concept Abstraction in the EARL Data Model
Proceedings of the Eight International Conference on Enity-Relationship Approach to Database Design and Querying
Modeling with KRISYS: the Design Process of DB Applications Reviewed
Proceedings of the Eight International Conference on Enity-Relationship Approach to Database Design and Querying
An Analysis of the Structural, Dynamic, and Temporal Aspects of Semantic Data Models
Proceedings of the Second International Conference on Data Engineering
Materialization and Its Metaclass Implementation
IEEE Transactions on Knowledge and Data Engineering
Understanding and Representing Relationship Semantics in Database Design
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Materialization: A Powerful and Ubiquitous Abstraction Pattern
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Can programming be liberated from the two-level style: multi-level programming with deepjava
Proceedings of the 22nd annual ACM SIGPLAN conference on Object-oriented programming systems and applications
Introducing pattern-based design for legal ontologies
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
An Intelligent information segmentation approach to extract financial data for business valuation
Expert Systems with Applications: An International Journal
Multi-level domain modeling with m-objects and m-relationships
APCCM '09 Proceedings of the Sixth Asia-Pacific Conference on Conceptual Modeling - Volume 96
When entities are types: effectively modeling type-instantiation relationships
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
Modeling techniques for multi-level abstraction
The evolution of conceptual modeling
Refining extra-functional property values in hierarchical component models
Proceedings of the 14th international ACM Sigsoft symposium on Component based software engineering
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A new data abstraction, called Materialization, is introduced to model a situation that occurs frequently in the real world and has important implications for database design. Materialization is the relationship between two entity types, one that represents a conceptual object, for example, a TV Model, and one that represents its corresponding concrete objects, in this case, actual TV Sets. The Materialization construct is formally defined and contrasted with other well-known data abstractions. Its design implications are presented in terms of the entity-relationship model and its translation into a relational model. Guidelines are offered for the proper employment of this relationship in database design methodologies, and a discussion is provided of why this constitutes an important data modeling construct.