Name
Abstract | ||
|---|---|---|
In the last decade, a growing interest has been devoted to the management of data referring to geographic scenarios. However, the attention of recent research has been focused on discrete data disregarding continuous data, because of their intrinsic complexity. In this paper, we introduce an extension of a spatial SQL, which provides users with the capability to pose queries about both discrete and continuous data. |
Year | Venue | Keywords |
|---|---|---|
2004 | COMPSAC Workshops | spatial sql extension,discrete data,continuous data,continuous field querying,spatial sql,last decade,recent research,intrinsic complexity,geographic scenario,geographic information systems,sql |
Field | DocType | ISSN |
SQL,Data mining,Stored procedure,Information retrieval,Language Integrated Query,Computer science,In-Memory Processing,Data Transformation Services,Data definition language,Query by Example,Spatial query | Conference | 0730-3157 |
ISBN | Citations | PageRank |
0-7695-2209-2-2 | 6 | 0.54 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Laurini | 1 | 371 | 63.89 |
| Luca Paolino | 2 | 132 | 21.03 |
| Monica Sebillo | 3 | 223 | 37.10 |
| Genoveffa Tortora | 4 | 1477 | 151.59 |
| Giuliana Vitiello | 5 | 424 | 55.93 |