A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
A proposal for a formal model of objects
Object-oriented concepts, databases, and applications
An Ontological Model of an Information System
IEEE Transactions on Software Engineering
Interoperability of multiple autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Using semantic values to facilitate interoperability among heterogeneous information systems
ACM Transactions on Database Systems (TODS)
A classification of semantic conflicts in heterogeneous database systems
WITS '92 Selected papers of the workshop on Information technologies and systems
Interoperability for digital libraries worldwide
Communications of the ACM
Using schematically heterogeneous structures
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Issues and approaches of database integration
Communications of the ACM
Conceptual schema analysis: techniques and applications
ACM Transactions on Database Systems (TODS)
SemQL: a semantic query language for multidatabase systems
Proceedings of the eighth international conference on Information and knowledge management
An ontological analysis of the relationship construct in conceptual modeling
ACM Transactions on Database Systems (TODS)
Emancipating instances from the tyranny of classes in information modeling
ACM Transactions on Database Systems (TODS)
A Methodology for Integration of Heterogeneous Databases
IEEE Transactions on Knowledge and Data Engineering
Global Viewing of Heterogeneous Data Sources
IEEE Transactions on Knowledge and Data Engineering
An experimental examination of property precedence in conceptual modelling
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Querying and browsing XML and relational data sources
Proceedings of the 2007 ACM symposium on Applied computing
Information Technology and Management
| Hi-index | 0.00 |
Integrating information from diverse sources is of great importance in the database area. The main difficulty in information integration is reconciling data semantics. Common approaches to semantic reconciliation are based on first identifying similar entity types in various sources, and then reconciling entity type properties (attributes and relationships). Such approaches assume all instances to be reconciled belong to well-defined types. We suggest an alternative approach based on two fundamental principles. First, reconciliation does not require that instances be assigned to specific types. Instead, sources can be reconciled by analyzing similarities of properties. Second, properties that appear different may be manifestations of a higher-level property that has the same meaning across sources. We present the fundamental ideas underlying our approach, analyze its potential advantages, suggest how the approach can be formalized, demonstrate with examples the feasibility of using it for semantic reconciliation, and suggest directions for further research.