A vision for management of complex models
ACM SIGMOD Record
The Clio project: managing heterogeneity
ACM SIGMOD Record
Schema Mapping as Query Discovery
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Schema mappings, data exchange, and metadata management
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Clio grows up: from research prototype to industrial tool
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
XML Mapping technology: making connections in an XML-centric world
IBM Systems Journal
An online bibliography on schema evolution
ACM SIGMOD Record
Model management 2.0: manipulating richer mappings
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Compiling mappings to bridge applications and databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Finding an application-appropriate model for XML data warehouses
Information Systems
Automatic schema merging using mapping constraints among incomplete sources
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Proceedings of the 14th International Conference on Database Theory
Query processing under GLAV mappings for relational and graph databases
Proceedings of the VLDB Endowment
On simplification of schema mappings
Journal of Computer and System Sciences
Online, asynchronous schema change in F1
Proceedings of the VLDB Endowment
Feature logic for web resources customization: Design and implementation
International Journal of Knowledge-based and Intelligent Engineering Systems
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We present an overview of a tutorial on model management---an approach to solving data integration problems, such as data warehousing, e-commerce, object-to-relational mapping, schema evolution and enterprise information integration. Model management defines a small set of operations for manipulating schemas and mappings, such as Match, Compose, Inverse, and Merge. The long-term goal is to build generic implementations of the operations that can be applied to a wide variety of data integration problems.