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Aggregate computation, such as selecting the minimum attribute value of a relation, is expensive, especially in a temporal database. We describe the basic techniques behind computing aggregates in conventional databases and show that these techniques are not efficient when applied to temporal databases. We examine the problem of computing constant intervals(More)
This document 1 contains deenitions of a wide range of concepts speciic to and widely used within temporal databases. In addition to providing deenitions, the document also includes explanations of concepts as well as discussions of the adopted names. The consensus eort that lead to this glossary was initiated in Early 1992. The present glossary subsumes(More)
This document presents the temporal database community with an extensive, consensus benchmark for temporal query languages. The benchmark is semantic in nature. It is intended to be helpful when evaluating the user-friendliness of temporal query languages, including proposals for the consensus temporal SQL that is currently being developed. The benchmark(More)
Any software made available via TIMECENTER is provided " as is " and without any express or implied warranties , including, without limitation, the implied warranty of merchantability and fitness for a particular purpose. The TIMECENTER icon on the cover combines two " arrows. " These " arrows " are letters in the so-called Rune alphabet used one millennium(More)
This document contains the complete set of glossary entries proposed by members of the temporal database community from Spring 1992 until May 1993. It is part of an initiative aimed at establishing an infrastructure for temporal databases. As such, the proposed concepts will be discussed during " International Workshop on an Infrastructure for Temporal(More)