Merging databases: Problems and examples

International Journal of Intelligent Systems

Volumn 16, Issue 10, 2001, Pages 1193-1221

  Cholvy, Laurence ^a,b   Moral, Serafin ^a  

^a ONERA   (France)

^b ETSI Informtica   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER HARDWARE DESCRIPTION LANGUAGES; DATA STRUCTURES; INFORMATION MANAGEMENT; MATHEMATICAL MODELS; MERGING; PROBABILITY; SENSOR DATA FUSION; SET THEORY;

CASES MATCHING; DATA SUMMARIZING; DATABASES MERGING; INCONSISTENCY HANDLING;

DATABASE SYSTEMS;

EID: 0035474773     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.1056     Document Type: Article

References (37)

1. Situation assessment based on spatially ambiguous multisensor measurements
2. Associating measurements from multiple sensors
3. A comparative analysis of methodologies for database schema integration
4. Duplicate record elimination in large data files
5. Multidatabase interoperability
6. Copy detection mechanisms for digital documents
7. Conceptual schema analysis: Techniques and applications
8. Reasoning with data provided by federated databases
9. Reasoning about norms provided by conflicting regulations
10. Merging regulations: Analysis of a practical example
11. Integration of heterogeneous databases without common domains using queries based on textual similarity
12. Considering integrity constraints during federated database design
13. Resolving database incompatibility: An approach to performing relational operations over mismatched domains
14. Assessing the value of a candidate: Comparing belief function and possibility theories
15. Unfair coins and necessity measures: Towards a possibilistic interpretation of histograms
16. From data mining to knowledge discovery in databases
17. Mining entity-identification rules for database integration
18. The correlation problem in sensor fusion in a possibilistic framework
19. Real-world data is dirty: Data cleansing and the merge/purge problem
20. Identifying and merging related bibliographic records
21. SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks
22. Merging databases under constraints
23. A formalization of semantic schema integration
24. Adaptative detection of approximately duplicate database records and the database integration approach to information discovery
25. The field matching problem: Algorithms and applications
26. An efficient domain-independent algorithm for detecting approximate duplicate database records
27. Superviews: Virtual integration of multiple databases
28. A formal framework for integrating inconsistent answers from multiple information sources
29. Semantic interoperability in global information systems: A brief introduction to the research and the special section
30. On closed world databases
31. Database design
32. Automatic text processing-the transformation, analysis and retrieval of information by computer
33. Federated database systems for managing distributed, heterogeneous, and autonomous databases
34. A metadata approach to resolving semantic conflicts
35. Information fusion in the context of stock index prediction
36. Unpacking the semantics of source and usage to perform semantic reconciliation in large-scale information systems
37. Identification of common molecular subsequences