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Artificial Intelligence Review manuscript No. (will be inserted by the editor)
 

Summary: Artificial Intelligence Review manuscript No.
(will be inserted by the editor)
Expressiveness of Temporal Query Languages: On the
Modelling of Intervals, Interval Relationships and States
Rodolfo Sab´as G´omez · Juan Carlos Augusto
Received: date / Revised version: date
Abstract Storing and retrieving time-related information are important, or even crit-
ical, tasks on many areas of Computer Science (CS) and in particular for Artificial
Intelligence (AI). The expressive power of temporal databases/query languages has
been studied from different perspectives, but the kind of temporal information they
are able to store and retrieve is not always conveniently addressed. Here we assess a
number of temporal query languages with respect to the modelling of time intervals,
interval relationships and states, which can be thought of as the building blocks to
represent and reason about a large and important class of historic information. To
survey the facilities and issues which are particular to certain temporal query lan-
guages not only gives an idea about how useful they can be in particular contexts,
but also gives an interesting insight in how these issues are, in many cases, ultimately
inherent to the database paradigm.
While in the area of AI declarative languages are usually the preferred choice,
other areas of CS heavily rely on the extended relational paradigm. This paper, then,

  

Source: Augusto, Juan Carlos - School of Computing and Mathematics, University of Ulster at Jordanstown
Kent, University of - Computing Laboratory

 

Collections: Computer Technologies and Information Sciences