A survey in indexing and searching XML documents
Journal of the American Society for Information Science and Technology - XML
A foundation for vacuuming temporal databases
Data & Knowledge Engineering
Extending the Object Query Language for Transparent Metadata Access
FoMLaDO/DEMM 2000 Selected papers from the 9th International Workshop on Foundations of Models and Languages for Data and Objects, Database Schema Evolution and Meta-Modeling
A framework for diagnosing changes in evolving data streams
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
On Change Diagnosis in Evolving Data Streams
IEEE Transactions on Knowledge and Data Engineering
Policy-Regulated management of ETL evolution
Journal on Data Semantics XIII
What-if analysis for data warehouse evolution
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
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One of the fundamental aspects of information and database systems is that they change. Moreover, in so doing they evolve, although the manner and quality of this evolution is highly dependent on the mechanisms in place to handle it. While changes in data are handled well, changes in other aspects, such as structure, rules, constraints, the model, etc., are handled to varying levels of sophistication and completeness.In order to study this in more detail a workshop on Evolution and Change in Data Management was held in Paris in November 1999. It brought together researchers from a wide range of disciplines with a common interest in handling the fundamental characteristics and the conceptual modelling of change in information and database systems. This short report of the workshop concentrates on some of the general lessons that emerged during the four days.