Temporal database system implementations
ACM SIGMOD Record
On the semantics of “now” in databases
ACM Transactions on Database Systems (TODS)
Maintaining knowledge about temporal intervals
Communications of the ACM
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Maintaining Temporal Views over Non-Temporal Information Sources for Data Warehousing
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Coalescing in Temporal Databases
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Developing a DataBlade for a New Index
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Adaptable query optimization and evaluation in temporal middleware
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
A Foundation for Conventional and Temporal Query Optimization Addressing Duplicates and Ordering
IEEE Transactions on Knowledge and Data Engineering
An XML-based methodology for parametric temporal database model implementation
Journal of Systems and Software
Data & Knowledge Engineering
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Commercial relational database systems today provide only limited temporal support. To address the needs of applications requiring rich temporal data and queries, we have built TIP (Temporal Information Processor), a temporal extension to the Informix database system based on its DataBlade technology. Our TIP DataBlade extends Informix with a rich set of datatypes and routines that facilitate temporal modeling and querying. TIP provides both C and Java libraries for client applications to access a TIP-enabled database, and provides end-users with a GUI interface for querying and browsing temporal data.