The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
Temporal databases: theory, design, and implementation
Temporal databases: theory, design, and implementation
GEFRED: a generalized model of fuzzy relational databases
Information Sciences—Informatics and Computer Science: An International Journal
Towards the implementation of a generalized fuzzy relational database model
Fuzzy Sets and Systems
Supporting valid-time indeterminacy
ACM Transactions on Database Systems (TODS)
Temporal granularity for unanchored temporal data
Proceedings of the seventh international conference on Information and knowledge management
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
A general framework for time granularity and its application to temporal reasoning
Annals of Mathematics and Artificial Intelligence
Extensions to SQL for Historical Databases
IEEE Transactions on Knowledge and Data Engineering
A Server for Fuzzy SQL Queries
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Transaction Timestamping in (Temporal) Databases
Proceedings of the 27th International Conference on Very Large Data Bases
Effective timestamping in databases
The VLDB Journal — The International Journal on Very Large Data Bases
Spatio-Temporal Databases: Flexible Querying and Reasoning
Spatio-Temporal Databases: Flexible Querying and Reasoning
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
Advances in fuzzy temporal relational databases: a review
WSEAS Transactions on Information Science and Applications
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The primary aim of temporal databases is to offer a common framework to those DB applications that need to store or handle different types of temporal data from a variety of sources since they allow the concept of time to be unified from the point of view of meaning, representation and manipulation. Although at first sight the incorporation of time into a DB might appear to be a direct and even simple task, it is, however, quite complex because not only must new structures and specific operators be included but the semantics of classical manipulation sentences (insert, update or delete) must be changed when temporal data are present. In addition, temporal information is not always as precise as desired since it is affected by imprecision due to the use of natural language or to the nature of the source. In this paper, we deal with the problem of the update and query operations when time is expressed by means of a fuzzy interval of dates. Throughout the text, we will see how the delete and insert operations are particular cases of the update process and will therefore be implicitly presented in the paper.