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Abstract: The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamps, as do most data models, leaves a data model with a variety of choices for giving a meaning to timestamps. 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 most aspects of a... (Update)
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BibTeX entry: (Update)
@misc{ hlen-point,
author = "M. H. Böhlen and R. Busatto and C. S. Jensen",
title = "Point- Versus Interval-based Temporal Data Models",
url = "citeseer.ist.psu.edu/14331.html" }
Citations (may not include all citations):162 The TSQL2 Temporal Query Language (context) - Snodgrass - 1995
150 Understanding the new SQL: A Complete Guide (context) - Melton, Simon - 1993
95 A Homogeneous Relational Model and Query Languages for Tempo.. (context) - Gadia - 1988 ACM DBLP
89 Temporal Query Languages: a Survey - Chomicki - 1994
83 The Temporal Query Language TQuel (context) - Snodgrass - 1987 ACM DBLP
76 Temporal Databases: Theory (context) - Tansel, Clifford et al. - 1993
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24 Temporal Connectives Versus Explicit Timestamps in Temporal .. - Abiteboul, Herr et al. - 1995 ACM DBLP
22 Unifying Temporal Models via a Conceptual Model (context) - Jensen, Soo et al. - 1994
16 Weak Temporal Relations (context) - Gadia - 1986 ACM DBLP
15 The Logic of Time -- A Model-Theoretic Investigation into th.. (context) - van Benthem - 1991
13 SQL Extension for Interval Data (context) - Lorentzos, Mitsopoulos - 1997
5 Point-based vs Interval-based Temporal Query Languages (context) - Toman - 1996
4 Submitted to IEEE TKDE (context) - Chomicki, Languages et al. - 1995
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