Updating logical databases containing null values
Proceedings on International conference on database theory
Fact structure and its application to updates in relational databases
Information Systems
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)
On Representing Indefinite and Maybe Information in Relational Databases
Proceedings of the Fourth International Conference on Data Engineering
Semantics of extended relational model for managing uncertain information
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Integrity Constraints in the Information Source Tracking Method
IEEE Transactions on Knowledge and Data Engineering
Information Source Tracking Method: Efficiency Issues
IEEE Transactions on Knowledge and Data Engineering
Integration of Biological Data and Quality-Driven Source Negotiation
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Efficient query evaluation on probabilistic databases
The VLDB Journal — The International Journal on Very Large Data Bases
Consistent query answers in inconsistent probabilistic databases
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Cost-efficient repair in inconsistent probabilistic databases
Proceedings of the 20th ACM international conference on Information and knowledge management
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The author studies the problem of determining the reliability of answers to queries in a relational database system, where the information in the database comes from various sources with varying degrees of reliability. An extended relational model is proposed in which each tuple in a relation is associated with an information source vector which identifies the information source(s) that contributed to that tuple. The author shows how relational algebra operations can be extended, and implemented using information source vectors, to calculate the vector corresponding to each tuple in the answer to a query, and hence, to identify information source(s) contributing to each tuple in the answer. This also enables the database system to calculate the reliability of each tuple in the answer to a query as a function of the reliability of information sources.