A logical design methodology for relational databases using the extended entity-relationship model
ACM Computing Surveys (CSUR)
A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Superviews: Virtual Integration of Multiple Databases
IEEE Transactions on Software Engineering
Object-oriented systems analysis: modeling the world in data
Object-oriented systems analysis: modeling the world in data
gIBIS: a hypertext tool for exploratory policy discussion
ACM Transactions on Information Systems (TOIS)
The complete Hypercard handbook
The complete Hypercard handbook
A Theory of Attributed Equivalence in Databases with Application to Schema Integration
IEEE Transactions on Software Engineering
An introduction to database systems: vol. 1 (5th ed.)
An introduction to database systems: vol. 1 (5th ed.)
An introduction to database systems
An introduction to database systems
Data models, database languages and database management systems
Data models, database languages and database management systems
Communications of the ACM
Hypertext: from text to Expertext
Hypertext: from text to Expertext
Automating hypermedia for decision support
Hypermedia
Decline and fall of the American programmer
Decline and fall of the American programmer
Communications of the ACM - Special issue on graphical user interfaces
Collaborative writing and technological change: implications for writing practice and system design
Computer Supported Cooperative Work - Special issue on computer-supported collaborative writing
Database abstractions: aggregation and generalization
ACM Transactions on Database Systems (TODS)
Automated Tools for Information Systems Design: Proceedings IFIP WG Working Conference on Automated Tools for Information Systems Design and Development, 8.1, New Orleans, January 26-28, 1982
A Tool for Integrating Conceptual Schemas and User Views
Proceedings of the Fourth International Conference on Data Engineering
Multi-User View Integration System (MUVIS): An Expert System for View Integration
Proceedings of the Sixth International Conference on Data Engineering
Abstraction Levels for Entity-Relationship Schemas
ER '94 Proceedings of the13th International Conference on the Entity-Relationship Approach
Standard-Driven Re-Engineering of Entity-Relationship Schemas
ER '94 Proceedings of the13th International Conference on the Entity-Relationship Approach
What Makes a Good Data Model? Evaluating the Quality of Entity Relationship Models
ER '94 Proceedings of the13th International Conference on the Entity-Relationship Approach
The Natural Language Modeling Procedure
NGITS '02 Proceedings of the 5th International Workshop on Next Generation Information Technologies and Systems
Business process integration: method and analysis
APCCM '09 Proceedings of the Sixth Asia-Pacific Conference on Conceptual Modeling - Volume 96
Metadata based management and sharing of distributed biomedical data
International Journal of Metadata, Semantics and Ontologies
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Conceptual modelling as applied to database development can be described as a two stage process: schema modelling followed by schema integration. Schema modelling is the process of transforming individual user requirements into a conceptual schema: an implementation-independent map of data requirements. Schema integration is the process of combining individual conceptual schemas into a single, unified schema. Single-user tools for schema modelling have enjoyed much success partly because the process of schema modelling has become relatively well formalised. Although a number of formal approaches to conducting schema integration have been proposed, it appears that schema integration tools have not enjoyed the same level of success. This we attribute not so much to the problem of formalisation but to the inherent collaborative nature of schema integration work. This paper first discusses the importance of collaboration to schema integration work. It then describes SISIBIS, a demonstrator system employing the IBIS (Issue Based Information System) scheme to support collaborative database design.