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The association of timestamps with various data items is fundamental to the management of time-varying information because it has a pervasive effect on most aspects of a data model. 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 data models claim to be point-based while other data models claim to be interval-based. The precise definition of these properties is often confused. We argue that these properties can (and in fact should) coexist. Together they provide a powerful tool to define temporal operators that support advanced attribute semantics.
@inproceedings{DBLP:conf/time/Bohlen04, author = {Michael H. B{\"o}hlen}, title = {Toward a Unifying View of Point and Interval Temporal Data Model.}, booktitle = {TIME}, year = {2004}, pages = {3-4}, ee = {http://csdl.computer.org/comp/proceedings/time/2004/2155/00/21550003abs.htm}, crossref = {conf/time/2004}, bibsource = {DBLP, http://dblp.uni-trier.de} } @proceedings{DBLP:conf/time/2004, title = {11th International Symposium on Temporal Representation and Reasoning (TIME 2004), 1-3 July 2004, Tatihou Island, Normandie, France}, booktitle = {TIME}, publisher = {IEEE Computer Society}, year = {2004}, isbn = {0-7695-2155-X}, bibsource = {DBLP, http://dblp.uni-trier.de} } },  ©2005 Association for Computing Machinery |
