Point-Versus Interval-Based Temporal Data Models

  title={Point-Versus Interval-Based Temporal Data Models},
  author={Michael H. B{\"o}hlen and Renato Busatto and Christian S. Jensen},
The association of timestamps with various data items such a s tuples or attribute values is fundamental to the management of time-varying information. Using interva ls in timestamps, as do most data models, leaves a data model with a variety of choices for giving a meaning to t imestamps. Specifically, some such data models claim to be point-based while other data models claim to be interval-based. The meaning chosen for timestamps is important—it has a pervasive effect on mos t aspects of a… CONTINUE READING
Highly Cited
This paper has 111 citations. REVIEW CITATIONS

5 Figures & Tables



Citations per Year

111 Citations

Semantic Scholar estimates that this publication has 111 citations based on the available data.

See our FAQ for additional information.