… ment when storing and querying data is very important. In this paper we propose a new
temporal query language, called T4SQL, supporting multiple temporal dimensions of data. …

… a query language, called ST4SQL, (an extension of T4SQL [4]) for supporting both temporal
… In particular, we extend the four temporal semantics proposed in T4SQL also to consider …

… of temporal dimensions. In [14] and its extended version [13] the ST4SQL spatio-temporal
query language has been proposed based on the same approach. ST4SQL extends T4SQL …

… However, some temporal operators … query transaction time need to be minimised by using
various high level algorithm techniques. Besides that, new temporal query language T4SQL is …

… Let us now move to the main aspects of query languages supporting multiple temporal … the
temporal query language T4SQL [94], supporting all the four introduced temporal dimensions. …

… relations provided with (a subset of) the temporal dimensions … T4SQL query can be translated
into an equivalent SQL query… user-friendly graphical query language can be designed and …

… temporal query languages reflects that the importance of time has led to the development
of custom temporal … database systems (eg TSQL2[3] and T4SQL[4]), while there are some …

… the support of temporal grouping. T4SQL uses constants and standard temporal data types
… The choice of using either intervals or temporal elements for timestamping events or objects …

… ST4SQL query language [16]. We show how spatio-temporal granularities can be used to
enrich and query … ST4SQL is a spatio-temporal extension of T4SQL [8]. ST4SQL introduce new …

… relations provided with (a subset of) the temporal dimensions of validity, transaction, … any
T4SQL query can be translated into an equivalent SQL query, the corresponding SQL queries …