A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
On generating all maximal independent sets
Information Processing Letters
View Integration: A Step Forward in Solving Structural Conflicts
IEEE Transactions on Knowledge and Data Engineering
Theoretical Aspects of Schema Merging
EDBT '92 Proceedings of the 3rd International Conference on Extending Database Technology: Advances in Database Technology
The Use of Information Capacity in Schema Integration and Translation
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Merging models based on given correspondences
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Interactive generation of integrated schemas
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
XML data integration in SixP2P: a theoretical framework
DaMaP '08 Proceedings of the 2008 international workshop on Data management in peer-to-peer systems
VIREX and VRXQuery: interactive approach for visual querying of relational databases to produce XML
Journal of Intelligent Information Systems
Reverse engineering of XML schemas to conceptual diagrams
APCCM '09 Proceedings of the Sixth Asia-Pacific Conference on Conceptual Modeling - Volume 96
XML materialized views and schema evolution in VIREX
Information Sciences: an International Journal
Combining logic and probabilities for discovering mappings between taxonomies
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
A context-based schema integration process applied to healthcare data sources
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
A survey of multiple tree visualisation
Information Visualization
Discovery of probabilistic mappings between taxonomies: principles and experiments
Journal on data semantics XV
A clustering-based approach for large-scale ontology matching
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
Automatically mapping and integrating multiple data entry forms into a database
ER'11 Proceedings of the 30th international conference on Conceptual modeling
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Schema integration is the problem of finding a unified representation, called the integrated schema, from a set of source schemas that are related to each other. The relationships between the source schemas can be represented via correspondences between schema elements or via some other forms of schema mappings such as constraints or views. The integrated schema can be viewed as a means for dealing with the heterogeneity in the source schemas, by providing a standard representation of the data. Schema integration has received much of attention in the research literature [1, 2, 6, 8, 10] and still remains a challenge in practice. Existing approaches require substantial amount of human feedback during the integration process and moreover, the outcome of these approaches is a single integrated schema. In general, however, there can be multiple possible schemas that integrate data in different ways and each may be valuable in a given scenario.