Database systems: a practical approach to design, implementation and management
Database systems: a practical approach to design, implementation and management
Issues and approaches of database integration
Communications of the ACM
Integrating relational database schemas using a standardized dictionary
Proceedings of the 2001 ACM symposium on Applied computing
Resolving Constraint Conflicts in the Integration of Entity-Relationship Schemas
ER '97 Proceedings of the 16th International Conference on Conceptual Modeling
IEEE Transactions on Knowledge and Data Engineering
Matching large schemas: Approaches and evaluation
Information Systems
An XML Schema integration and query mechanism system
Data & Knowledge Engineering
Domain ontologies evolutions to solve semantic conflicts
ODBIS'05/06 Proceedings of the First and Second VLDB conference on Ontologies-based databases and information systems
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Extensible Markup Language (XML) has been widely used as the standard representation for data sharing and interchange between global enterprises. Numerous organisations have started to develop XML-based standard (in the form of XML Schema) for data exchange within their domains. For example, XML standard for health data exchange (HL7), financial data exchange (FIX), aviation data exchange (AIXM), etc. It is important for the industries to adopt this new standard to allow them to interact with one another in this global enterprise era. However, the challenge behind the issue of adopting XML standard for a company that already has an existing database system is how to detect and resolve conflicts caused by the different modelling of real world entities, different data models or different representations of the same object. In this paper, a comprehensive taxonomy of all possible conflicts in adopting XML standard is discussed. Based on this taxonomy, a suitable method for detecting conflicts along with a detection flow and algorithms are examined and implemented. In addition, an extensive evaluation based on a real global aviation database is employed to examine the quality of the proposed methodology.