Incomplete Information in Relational Databases
Journal of the ACM (JACM)
Set-theoretic problems of null completion in relational databases
Information Processing Letters
On the representation and querying of sets of possible worlds
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
Indefinite and maybe information in relational databases
ACM Transactions on Database Systems (TODS)
A family of incomplete relational database models
VLDB '89 Proceedings of the 15th international conference on Very large data bases
A foundation of CODD's relational maybe-operations
ACM Transactions on Database Systems (TODS)
On semantic issues connected with incomplete information databases
ACM Transactions on Database Systems (TODS)
Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
Null values in data base management a denotational semantics approach
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
Theory of Relational Databases
Theory of Relational Databases
Semantics of extended relational model for managing uncertain information
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Using Constraints for Efficient Query Processing in Nondeterministic Databases
IEEE Transactions on Knowledge and Data Engineering
An Exploration of Relationships Among Exclusive Disjunctive Data
IEEE Transactions on Knowledge and Data Engineering
A Note on "Incomplete Relational Database Models Based on Intervals"
IEEE Transactions on Knowledge and Data Engineering
Uncertainty modeling for database design using intuitionistic and rough set theory
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Consistency enforcement in databases
Proceedings of the 2nd international conference on Semantics in databases
Supporting ranking queries on uncertain and incomplete data
The VLDB Journal — The International Journal on Very Large Data Bases
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Tables are used to represent unknown relations. The three partial tuple types are defined in a table to specify incompleteness relationships among tuples of the same table. For tuples of different tables, the cases where incompleteness is introduced at the relation level, tuple level, or attribute value level are discussed. For each of the models, it is shown that query evaluation is sound in the Imielinski-Lipski sense. None of the models is complete in the Imielinski-Lipski sense. Two of the models in the family are compared with other approaches.