Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
Four valued logic for relational database systems
ACM SIGMOD Record
Nulls in relational databases: revised
ACM SIGMOD Record
Data mining for design and manufacturing
Searching a minimal semantically-equivalent subset of a set of partial values
The VLDB Journal — The International Journal on Very Large Data Bases
Semantic Conflicts and Solutions in Fuzzy Multidatabase Systems
DNIS '00 Proceedings of the International Workshop on Databases in Networked Information Systems
Closed World Databases Opened Through Null Values
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
A tuple-oriented algorithm for deduction in a fuzzy relational database
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Intelligent information systems
Null values in fuzzy databases
Journal of Intelligent Information Systems
Flexible querying in a relational framework supported by possibilistic logic
Fuzzy Sets and Systems
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My earlier paper TRI/EFC-4 from The Relational Institute on this subject was published in ACM SIGMOD Record, December 1986. As a result, I have received several comments and proposed changes. The purpose of this paper is to respond to these items, while continuing to place heavy emphasis on the semantic aspects of missing information. The response is principally further explanation, but a few changes of a quite minor character are proposed. In this paper the reader is assumed to have read TRI/EFC-4.