Proceedings Eighth International Symposium on Temporal Representation and Reasoning. TIME 2001
DOI: 10.1109/time.2001.930712
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A linguistic framework for querying dimensional data

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Cited by 2 publications
(4 citation statements)
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“…Since a tuplet is the part of a parametric tuple, it is not necessary to evaluate the tuplet if the previous tuplet has been already qualified. If this is not the case, the second step is to check whether the expression node is a unary node (line [5][6][7][8][9][10][11][12]. If this is the case, the expression node is a terminal node.…”
Section: Boolean Evaluationmentioning
confidence: 99%
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“…Since a tuplet is the part of a parametric tuple, it is not necessary to evaluate the tuplet if the previous tuplet has been already qualified. If this is not the case, the second step is to check whether the expression node is a unary node (line [5][6][7][8][9][10][11][12]. If this is the case, the expression node is a terminal node.…”
Section: Boolean Evaluationmentioning
confidence: 99%
“…It has been introduced in [18] to model ordinary, tem poral, and spatiotemporal data in a uniform way. It has been also studied to apply the data model to multi-level security databases [5]. One of features of the parametric data model is its extendibility to another dimension while the most of other data models focus on one particular form of dimensional data.…”
Section: Introductionmentioning
confidence: 99%
“…SQL st consists of two components, SQL T and SQL 5 , which evaluate temporal data and spatial data, respectively. SQL T supports valid-time and uses a polygon-oriented representation.…”
Section: Sql Stmentioning
confidence: 99%
“…SQL st may avoid the self-join for this query if it stores un-partitioned spatial data in the relation instead of triangulating the data 5. The original English query is "How long was fire fighter Miller enclosed by the fire called Forest Lake Fire,…”
mentioning
confidence: 99%