Titlebook: Recent Advances in Temporal Databases; Proceedings of the I James Clifford,Alexander Tuzhilin Conference proceedings 1995 British Computer

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Managing Time in GIS An Event-Oriented Approach model, extended from the versioning concept, describes different evolution levels. The temporal operations possible with this architecture are defined in terms of time- and event-based queries. Performance and some implementation issues are also discussed.

壓艙物

路標(biāo)

Spina-Bifida

Indurate

Evaluating the Completeness of TSQL2ompleteness properties, for what is a good model and language..This paper applies important existing completeness notions to TSQL2 in order to evaluate the design of TSQL2. It is shown that TSQL2 satisfies only a subset of these completeness notions.

Prosaic

Extending Temporal Relational Databases to Deal with Imprecise and Qualitative Temporal Informationformal theory for handling imprecise and qualitative temporal information in a relational temporal database. In particular, we introduce a relational algebra in which the traditional operators are extended in order to deal with imprecise and qualitative time; we examine the properties of the operato

A簡(jiǎn)潔的

Managing Time in GIS An Event-Oriented Approachitable for geographic applications. A topological temporal framework for representing entity-based events and processes is proposed. An event-oriented model, extended from the versioning concept, describes different evolution levels. The temporal operations possible with this architecture are define

Orchiectomy

Temporal connectives versus explicit timestamps in temporal query languages flow of time by means of temporal connectives. We study the differences in expressive power between these two approaches. We first consider first-order logic (i. e., the relational calculus). We show that first-order future temporal logic is strictly less powerful than the relational calculus with

largesse

Design of Temporal Relational Databases Based on Dynamic and Temporal Functional Dependenciesl dependencies. The purpose of this paper is to study how DFDs and TFDs affect database design in a temporally ungrouped historical data model. The result is a generalization of conventional normalization theory for temporal databases.

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