A federated architecture for information management
ACM Transactions on Information Systems (TOIS)
Semantics and implementation of schema evolution in object-oriented databases
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
A zoned architecture for large-scale evolution
ISAW '98 Proceedings of the third international workshop on Software architecture
SERF: schema evolution through an extensible, re-usable and flexible framework
Proceedings of the seventh international conference on Information and knowledge management
Summary: empirical studies of software development and evolution
Proceedings of the 21st international conference on Software engineering
Issues in Software Maintenance
ACM Computing Surveys (CSUR)
A Source-to-Source Meta-Translation System for Relational Query Languages
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
A Metadata Approach to Resolving Semantic Conflicts
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
SchemaSQL - A Language for Interoperability in Relational Multi-Database Systems
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Establishing a Knowledge Base to Assist Integration of Heterogeneous Databases
BNCOD 16 Proceedings of the 16th British National Conferenc on Databases: Advances in Databases
Semantic and schematic similarities between database objects: a context-based approach
The VLDB Journal — The International Journal on Very Large Data Bases
A comparison of old and new technologies for translating between relational query languages
SSDBM'86 Proceedings of the 3rd international workshop on Statistical and scientific database management
| Hi-index | 0.00 |
One of the fundamental difficulties associated with large-scale database interoperation is the cost and effort required for maintaining the federation in a consistent state after its launch. If only human intervention is to be assumed the task of maintaining logical federation consistency becomes insurmountable as the scale increases. The need for research towards a federation evolution model which takes into account evolving semantic aspects is becoming severe. We discuss desirable properties of such an evolution model and present a semi-automatic framework which is able to detect,report and reconcile the effects of change at both local and federal conceptual levels in interoperating database systems. The basis for the model is the exploitation of intensional sources data and a flexible way of ontologically committing local to federal conceptual entities.