The timestamps of now-relative bitemporal databases are modeled as growing, shrinking, or rectangular regions. The shape of these regions makes it a challenge to design bitemporal operators that a) are consistent with the pointbased interpretation of a temporal database, b) preserve the identity of the argument timestamps, c) ensure locality, and d) perform efficiently. We identify the bitemporal split operator as the basic primitive to implement a wide range of advanced now-relative bitemporal operations. The bitemporal split operator splits each tuple of a bitemporal argument relation, such that equality and standard nontemporal algorithms can be used to implement the bitemporal counterparts with the aforementioned properties. Both a nati...
In order to process interval timestamped data, the sequenced semantics has been proposed. This paper...
Many databases contain temporal, or time-referenced, data and use intervals to capture the temporal ...
Numerous proposals for extending the relational data model to incorporate the temporal dimension of ...
Most applications require storing multiple versions of data and involve a lot of temporal semantics ...
In bitemporal databases, current facts and transaction states are modelled using a special value to ...
We introduce a nested bitemporal relational data model that allows arbitrary levels of nesting. Bite...
The databases of a wide range of applications, e.g., in data warehousing, store multiple states of ...
Time is an essential part of information since it predicates about a constantly evolving real world....
Bitemporal data has always been important. But it was not until 2011 that the ISO released a SQL sta...
By supporting the valid and transaction time dimensions, bitemporal databases represent reality mor...
Coalescing is a unary operator applicable to temporal databases; it is similar to duplicate eliminat...
Abstract: A nested bitemporal relational data model and its query language are implemented. The bite...
The databases of a wide range of applications, e.g., in data warehousing, store multiple states of...
Abstract. This chapter introduces a new approach to temporal exten-sions of SQL. In contrast with mo...
Most data managed by existing, real-world database applications is time referenced. Data warehouses ...
In order to process interval timestamped data, the sequenced semantics has been proposed. This paper...
Many databases contain temporal, or time-referenced, data and use intervals to capture the temporal ...
Numerous proposals for extending the relational data model to incorporate the temporal dimension of ...
Most applications require storing multiple versions of data and involve a lot of temporal semantics ...
In bitemporal databases, current facts and transaction states are modelled using a special value to ...
We introduce a nested bitemporal relational data model that allows arbitrary levels of nesting. Bite...
The databases of a wide range of applications, e.g., in data warehousing, store multiple states of ...
Time is an essential part of information since it predicates about a constantly evolving real world....
Bitemporal data has always been important. But it was not until 2011 that the ISO released a SQL sta...
By supporting the valid and transaction time dimensions, bitemporal databases represent reality mor...
Coalescing is a unary operator applicable to temporal databases; it is similar to duplicate eliminat...
Abstract: A nested bitemporal relational data model and its query language are implemented. The bite...
The databases of a wide range of applications, e.g., in data warehousing, store multiple states of...
Abstract. This chapter introduces a new approach to temporal exten-sions of SQL. In contrast with mo...
Most data managed by existing, real-world database applications is time referenced. Data warehouses ...
In order to process interval timestamped data, the sequenced semantics has been proposed. This paper...
Many databases contain temporal, or time-referenced, data and use intervals to capture the temporal ...
Numerous proposals for extending the relational data model to incorporate the temporal dimension of ...