Authors:
Myriam Lamolle
1
;
Amar Zerdazi
1
and
Ludovic Menet
2
Affiliations:
1
LINC, IUT of Montreuil-University of Paris 8, France
;
2
Orchestra Networks, France
Keyword(s):
Mapping, node similarity, schema integration, XML Schema.
Related
Ontology
Subjects/Areas/Topics:
Coupling and Integrating Heterogeneous Data Sources
;
Databases and Information Systems Integration
;
e-Business
;
Enterprise Information Systems
;
Middleware Integration
;
Middleware Platforms
;
Technology Platforms
;
Web Databases
Abstract:
Today’s web-based applications and web services publish their data using XML, as this helps interoperability with other applications and services. The heterogeneity of XML data has led to recent research in schema matching, schema transformation, and schema integration for XML. In this paper, we propose an approach for mapping integration for XML schema. The basic idea is to drive direct as well as complex matches with their associated transformation operations from the computed element similarities. The representation of a mapping element in a source-to-target mapping clearly declares both the semantics correspondences as well as the access paths to access and load data from source into a target schema. We detail our mapping generation process and proceed in four steps to specify a formal representation of a source-to-target mapping in order to discover structural mappings between XML schemas.