Language features for flexible handling of exceptions in information systems
ACM Transactions on Database Systems (TODS)
The functional data model and the data languages DAPLEX
ACM Transactions on Database Systems (TODS)
Exception handling: issues and a proposed notation
Communications of the ACM
Storage and Access Structures to Support a Semantic Data Model
VLDB '82 Proceedings of the 8th International Conference on Very Large Data Bases
Tolerating exceptions in workflows: a unified framework for data and processes
WACC '99 Proceedings of the international joint conference on Work activities coordination and collaboration
Exception Handling in Object-Oriented Databases
Advances in Exception Handling Techniques (the book grow out of a ECOOP 2000 workshop)
Requirements ontology and multi-representation strategy for database schema evolution
ODBIS'05/06 Proceedings of the First and Second VLDB conference on Ontologies-based databases and information systems
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To utilize DBMSs, a database designer must usually construct a schema, which is used to validate the data stored and help set up efficient access structures. Because database design is an art, and because the real world is irregular, unpredictable, and evolves, truly useful database systems must be tolerant of occasional deviations from the constraints imposed by the schema, including the semantic integrity constraints. We therefore examine the problems involved in accommodating ezceptional information in a database, and outline techniques for resolving them. Furthermore, we consider ways in which the schema can be refined to better characterize reality as it is reflected in the data encountered, including the exceptions. For this purpose, we describe part of a "database administrator's assistant" - a computer system which can suggest modifications and additions to the current definitions and integrity constraints in the schema. This system makes generalizations from the currently encountered exceptions, and is based on techniques used in Machine Learning.