Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Schema Mapping as Query Discovery
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Querying XML Views of Relational Data
Proceedings of the 27th International Conference on Very Large Data Bases
Answering XML Queries on Heterogeneous Data Sources
Proceedings of the 27th 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
iMAP: discovering complex semantic matches between database schemas
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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XQuery has been widely considered as a mapping language for XML-based data sharing systems. Though many recent efforts have been made to provide automated support for constructing such semantic mappings between schemas, in practice it is inevitable for the user to directly construct or maintain the naive yet troublesome mapping expressions. In this paper, we propose the mapping combination framework for incrementally construct so called combined mappings, by starting with simple atomic ones and applying a set of combination operators. Different from the naive expressions, the combined mappings are extensible and maintainable, which gives flexibility and reusability in the process of mapping construction and maintenance, and alleviates the burden on the user in general cases.