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[GRS00] Manipulating Interpolated Data is Easier than You Thought
Conférence Internationale avec comité de lecture : Intl. Conf. on Very Large Databases (VLDB), January 2000,
motcle:
Résumé:
Data defined by interpolation is frequently found in new applications
involving geographical concepts, moving objects, and
spatio-temporal data. This data leads to potentially infinite collections of
items, (e.g. the elevation of any point in a map), whose definition is based
on the association of a collection of samples with an interpolation
function. We first argue that the manipulation of the data through direct
access to the samples and interpolation functions easily leads
to cumbersome or inaccurate queries. We therefore suggest hiding the
samples and the interpolation function away from the logical level, and
letting the system manipulate them at the physical level.
We propose to model such data conceptually using infinite relations (e.g. the map with elevation yields an infinite ternary relation) which can be manipulated through standard relational query languages (e.g. SQL), with no mention of the interpolated definition. This approach is simple and establishes a clear separation between logical and physical levels.
Commentaires:
Le Caire, Egypte
BibTeX
| @inproceedings { | |||
| GRS00, | |||
| title | = | "{Manipulating Interpolated Data is Easier than You Thought}", | |
| author | = | " S. Grumbach and P. Rigaux and L. Segoufin ", | |
| booktitle | = | "{Intl. Conf. on Very Large Databases (VLDB)}", | |
| year | = | 2000, | |
| month | = | "January", | |
| note | = | "{Le Caire, Egypte}", | |
| } | |||
