The concept of an update is external to the classical relational model. When an update is made, the old information is lost at the logical level, and such information may at best be stored in the form of an update log. As a result, the classical relational model is incapable of supporting a query language for updates. We consider two orthogonal concepts of time: the real world time, which captures the changes in the real world, and the transaction time, which is the time when some knowledge of the history of the real world is added to the database. We give a temporal relational model which timestamps the values of attributes with two dimensional timestamps. In this model a formal semantics of updates is given naturally, and the model may be...
AbstractWe study regular first-order update logic (FUL), which is a variant of regular dynamic logic...
We study regular first-order update logic (FUL), which is a variant of regular dynamic logic in whic...
Now-related temporal data play an important role in many applications. Clifford et al.’s approach is...
A temporal relational database model that supports queries on updates and errors is obtained by atta...
The existing database models do not capture the difference between updates intended to make changes ...
Abstract: The developments of database technology have extended the traditional relation database co...
In temporal database systems the time varying aspects of data are captured by time-stamping data val...
The concept of an historical database is introduced as a tool for modelling the dynamic nature of so...
AbstractThis paper investigates a special case of the event calculus, concerned with database update...
Abstract We propose a generabzed relatIonal model for a temporal database which allows time stamping...
Managing Time in Relational Databases shows how to make the rich information content of bi-temporal ...
We address the problem of formalizing the evolution of a database under the effect of an arbitrary ...
Temporal database management systems provide integrated support for the storage and retrieval of tim...
This paper provides a systematic and comprehensive study of the semantics of temporal databases. We ...
Abstract: We see a temporal data warehouse as a set of temporal views defined in the past frag-ment ...
AbstractWe study regular first-order update logic (FUL), which is a variant of regular dynamic logic...
We study regular first-order update logic (FUL), which is a variant of regular dynamic logic in whic...
Now-related temporal data play an important role in many applications. Clifford et al.’s approach is...
A temporal relational database model that supports queries on updates and errors is obtained by atta...
The existing database models do not capture the difference between updates intended to make changes ...
Abstract: The developments of database technology have extended the traditional relation database co...
In temporal database systems the time varying aspects of data are captured by time-stamping data val...
The concept of an historical database is introduced as a tool for modelling the dynamic nature of so...
AbstractThis paper investigates a special case of the event calculus, concerned with database update...
Abstract We propose a generabzed relatIonal model for a temporal database which allows time stamping...
Managing Time in Relational Databases shows how to make the rich information content of bi-temporal ...
We address the problem of formalizing the evolution of a database under the effect of an arbitrary ...
Temporal database management systems provide integrated support for the storage and retrieval of tim...
This paper provides a systematic and comprehensive study of the semantics of temporal databases. We ...
Abstract: We see a temporal data warehouse as a set of temporal views defined in the past frag-ment ...
AbstractWe study regular first-order update logic (FUL), which is a variant of regular dynamic logic...
We study regular first-order update logic (FUL), which is a variant of regular dynamic logic in whic...
Now-related temporal data play an important role in many applications. Clifford et al.’s approach is...