Incomplete Information in Relational Databases
Journal of the ACM (JACM)
A logic-based calculus of events
New Generation Computing
Evaluation of relational algebras incorporating the time dimension in databases
ACM Computing Surveys (CSUR)
Automatic deduction of temporal information
ACM Transactions on Database Systems (TODS)
Temporal databases: theory, design, and implementation
Temporal databases: theory, design, and implementation
Database models for infinite and indefinite temporal information
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)
Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
Maintaining knowledge about temporal intervals
Communications of the ACM
Four valued logic for relational database systems
ACM SIGMOD Record
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Null values in data base management a denotational semantics approach
SIGMOD '79 Proceedings of the 1979 ACM SIGMOD international conference on Management of data
IEEE Transactions on Knowledge and Data Engineering
The Historical Relational Data Model (HRDM) and Algebra Based on Lifespans
Proceedings of the Third International Conference on Data Engineering
Proceedings of the Ninth International Conference on Data Engineering
Incomplete Information in Relational Temporal Databases
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Temporal Indeterminancy in Deductive Databases: An Approach Based on Event Calculus
ARTDB '97 Proceedings of the Second International Workshop on Active, Real-Time, and Temporal Database Systems
IEEE Transactions on Information Technology in Biomedicine
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In this paper we present a temporal data model capable of representing null values in valid time based on first normal form (1NF) and temporal intervals. As opposed to pervious temporal data models, we store the length of valid time intervals in our model as additional information. In out model we can find temporal information efficiently with special temporal operators. In the case where temporal information is partially known, we can derive this information as complete temporal information or use extended algebraic operations to evaluate a query. Out model is implemented using C++.