Multidatabase Interoperability
Computer
A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
A Theory of Attributed Equivalence in Databases with Application to Schema Integration
IEEE Transactions on Software Engineering
A polygon model for heterogeneous database systems: the source tagging perspective
Proceedings of the sixteenth international conference on Very large databases
Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Answering heterogeneous database queries with degrees of uncertainty
Distributed and Parallel Databases
Role-based query processing in multidatabase systems
EDBT '94 Proceedings of the 4th international conference on extending database technology: Advances in database technology
An approach to schema integration based on transformations and behaviour
CAiSE '94 Proceedings of the 6th international conference on Advanced information systems engineering
Semantic heterogeneity in multidatabase systems
Object-oriented multidatabase systems
The object database standard: ODMG 2.0
The object database standard: ODMG 2.0
Tuple source relational model: a source-aware data model for multidatabases
Data & Knowledge Engineering
The integration of relationship instances from hetorogeneous databases
Decision Support Systems
Model independent assertions for integration of heterogeneous schemas
The VLDB Journal — The International Journal on Very Large Data Bases
IEEE Transactions on Knowledge and Data Engineering
The Inter-Database Instance Identification Problem in Integrating Autonomous Systems
Proceedings of the Fifth International Conference on Data Engineering
ViewSystem: Integrating Heterogeneous Information Bases by Object-Oriented Views
Proceedings of the Sixth International Conference on Data Engineering
Entity Identification in Database Integration
Proceedings of the Ninth International Conference on Data Engineering
Resolving Attribute Incompatibility in Database Integration: An Evidential Reasoning Approach
Proceedings of the Tenth International Conference on Data Engineering
Semantic Integration in Heterogeneous Databases Using Neural Networks
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
On the Applicability of Schema Integration Techniques to Database Interoperation
ER '96 Proceedings of the 15th International Conference on Conceptual Modeling
The VLDB Journal — The International Journal on Very Large Data Bases
Conflict Tolerant Queries in AURORA
COOPIS '99 Proceedings of the Fourth IECIS International Conference on Cooperative Information Systems
Resolving data heterogeneity in scientific and statistical databases
SSDBM'1992 Proceedings of the 6th international working conference on Scientific and statistical database management
Comparing Relationships in Conceptual Modeling: Mapping to Semantic Classifications
IEEE Transactions on Knowledge and Data Engineering
FlagelLink: a decision support system for distributed flagellar data using data warehouse
Proceedings of the 2008 ACM symposium on Applied computing
Semantically rich materialisation rules for integrating heterogeneous databases
BNCOD'05 Proceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation
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A complete data integration solution can be viewed as an iterative process that consists of three phases, namely analysis, derivation and evolution. The entire process is similar to a software development process with the target application being the derivation roles for the integrated databases. In many cases, data integration requires several iterations of refining the local-to-global database mapping rules before a stable set of rules can be obtained. In particular, the mapping rules, as well as the data model and query model for the integrated databases have to cope with poor data quality in local databases, ongoing local database updates and instance heterogeneities. In this paper, we therefore propose a new object-oriented global data model, known as OORA, that can accommodate attribute and relationship instance heterogeneities in the integrated databases. The OORA model has been designed to allow database integrators and end users to query both the local and resolved instance values using the same query language throughout the derivation and evolution phases of database integration. Coupled with the OORA model, we also define a set of local-to-global database mapping rules that can detect new heterogeneities among databases and resolve instance heterogeneities if situations permit.