Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Views in a large-scale XML repository
The VLDB Journal — The International Journal on Very Large Data Bases
Composable XML integration grammars
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Schema mappings, data exchange, and metadata management
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Designing information-preserving mapping schemes for XML
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Information preserving XML schema embedding
ACM Transactions on Database Systems (TODS)
XML data exchange: Consistency and query answering
Journal of the ACM (JACM)
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Schema mapping and query translation in heterogeneous P2P XML databases
The VLDB Journal — The International Journal on Very Large Data Bases
XML data integration with identification
DBPL'05 Proceedings of the 10th international conference on Database Programming Languages
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XML schema mapping is a fundamental issue in XML integration and exchange. Existing studies often follow the approach of relational schema mapping to present XML mapping as correspondences between and constraints on tuples of elements. However, XML mappings involving hierarchical and heterogeneous data are often complex to present with this approach. In this paper, we propose a new approach named Conjunctive-Disjunctive View (CDV) for XML schema mapping. A CDV is a pattern-based view which allows disjunctive as well as conjunctive composition of data elements. It can conveniently present complex mapping requests involving hierarchical, heterogeneous and even recursive data. We describe the design issues and the features of CDV, with certain typical examples of XML schema mappings.