A generalized model for a relational temporal database
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Information and Software Technology
Understanding the new SQL: a complete guide
Understanding the new SQL: a complete guide
Logical design for temporal databases with multiple granularities
ACM Transactions on Database Systems (TODS)
On the semantics of “now” in databases
ACM Transactions on Database Systems (TODS)
Calendrical calculations
Supporting valid-time indeterminacy
ACM Transactions on Database Systems (TODS)
Developing time-oriented database applications in SQL
Developing time-oriented database applications in SQL
On semantic issues connected with incomplete information databases
ACM Transactions on Database Systems (TODS)
Maintaining knowledge about temporal intervals
Communications of the ACM
Adaptable query optimization and evaluation in temporal middleware
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Time Granularities in Databases, Data Mining and Temporal Reasoning
Time Granularities in Databases, Data Mining and Temporal Reasoning
DBMS Support for Nonmetric Measurement Systems
IEEE Transactions on Knowledge and Data Engineering
Efficiently Supporting Temporal Granularities
IEEE Transactions on Knowledge and Data Engineering
Incomplete Information in Relational Temporal Databases
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Coalescing in Temporal Databases
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Extending Temporal Relational Databases to Deal with Imprecise and Qualitative Temporal Information
Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
Databases and Temporal Constraints: Semantics and Complexity
Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
Efficient Complex Query Support for Multiversion XML Documents
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Observing Transaction-Time Semantics with TTXPath
WISE '01 Proceedings of the Second International Conference on Web Information Systems Engineering (WISE'01) Volume 1 - Volume 1
Data stream management for historical XML data
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Sanitizing using metadata in MetaXQuery
Proceedings of the 2005 ACM symposium on Applied computing
Event-based multimedia chronicling systems
CARPE '05 Proceedings of the 2nd ACM workshop on Continuous archival and retrieval of personal experiences
Temporal slicing in the evaluation of XML queries
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Transaction time indexing with version compression
Proceedings of the VLDB Endowment
Scalable architecture and query optimization fortransaction-time DBs with evolving schemas
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Prefix-based node numbering for temporal XML
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Temporal optimisations and temporal cardinality in the tOWL language
International Journal of Web Engineering and Technology
Journal of Intelligent Information Systems
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This paper presents a novel strategy for temporal coalescing. Temporal coalescing merges the temporal extents of value-equivalent tuples. A temporal extent is usually coalesced offline and stored since coalescing is an expensive operation. But the temporal extent of a tuple with now, times at different granularities, or incomplete times cannot be determined until query evaluation. This paper presents a strategy to partially coalesce temporal extents by identifying regions that are potentially covered. The covered regions can be used to evaluate temporal predicates and constructors on the coalesced extent. Our strategy uses standard relational database technology. We quantify the cost using the Oracle DBMS.