Schema Mapping as Query Discovery
VLDB '00 Proceedings of the 26th 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
Gangam: A Transformation Modeling Framework
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Discovering View Expressions from a Multi-Source Information System
COOPIS '99 Proceedings of the Fourth IECIS International Conference on Cooperative Information Systems
Constraint-based XML query rewriting for data integration
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
iMAP: discovering complex semantic matches between database schemas
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Mapping generation for XML data sources: a general framework
WIRI '05 Proceedings of the International Workshop on Challenges in Web Information Retrieval and Integration
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Model-Driven tool interoperability: an application in bug tracking
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Learning to discover complex mappings from web forms to ontologies
Proceedings of the 21st ACM international conference on Information and knowledge management
Maintaining Mappings between Conceptual Models and Relational Schemas
Journal of Database Management
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The interoperability of heterogeneous data sources is an important issue in many applications such as mediation systems or web-based systems. In these systems, each data source exports a schema and each application defines a target schema representing its needs. The way instances of the target schema are derived from the sources is described through mappings. Generating such mappings is a difficult task, especially when the schemas are semi structured. In this paper, we propose an approach for mapping generation in an XML context; the basic idea is to decompose the target schema into subtrees and to find mappings, called partial mappings, for each of them; the mappings for the whole target schema are then produced by combining the partial mappings and checking that the structure of the target schema is preserved. We also present a tool supporting our approach and some experimental results.