Reconciling point-based and interval-based semantics in temporal relational databases: A treatment of the telic/atelic distinction

Paolo Terenziani, Richard T. Snodgrass

Research output: Contribution to journalArticle

36 Scopus citations

Abstract

The analysis of the semantics of temporal data and queries plays a central role in the area of temporal databases. Although many different algebræ and models have been proposed, almost all of them are based on a point-based (snapshot) semantics for data. On the other hand, in the areas of linguistics, philosophy, and, recently, artificial Intelligence, an oft-debated Issue concerns the use of an Interval-based versus a point-based semantics. In this paper, we first show some problems Inherent in the adoption of a point-based semantics for data, then argue that these problems arise because there is no distinction drawn in the data between telic and atelic facts. We then Introduce a three-sorted temporal model and algebra including coercion functions for transforming relations of one sort into relations of the other at query time which properly copes with these issues.

Original languageEnglish (US)
Pages (from-to)540-551
Number of pages12
JournalIEEE Transactions on Knowledge and Data Engineering
Volume16
Issue number5
DOIs
StatePublished - May 1 2004

Keywords

  • Data models
  • Database semantics
  • Temporal databases

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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