http://www.cnr.it/ontology/cnr/individuo/prodotto/ID224996
Extending Geographic Databases for a Query Language to Support Queries Involving Statistical Data (Contributo in atti di convegno)
- Type
- Label
- Extending Geographic Databases for a Query Language to Support Queries Involving Statistical Data (Contributo in atti di convegno) (literal)
- Anno
- 2000-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/SSDM.2000.869790 (literal)
- Alternative label
FERRI F.; POURABBAS E.; RAFANELLI M.; RICCI F.L. (2000)
Extending Geographic Databases for a Query Language to Support Queries Involving Statistical Data
in 12th IEEE International Conference on Scientific and Statistical Database Management-SSDBM, Berlin, Germany, July 26-28, 2000
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- FERRI F.; POURABBAS E.; RAFANELLI M.; RICCI F.L. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM 2000, IEEE Computer Society (literal)
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- Istituto di Analisi dei Sistemi ed Informatica \"Antonio Ruberti\" (literal)
- Titolo
- Extending Geographic Databases for a Query Language to Support Queries Involving Statistical Data (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Oliver Günther, Hans-J. Lenz (literal)
- Abstract
- The concepts abstracted from reality and represented through the dimensions in a Statistical Database (SDB) support the user to use them in query formulation and processing. Instead, all those useful properties involved in a query that cannot be obtained through dimension/s in a SDB (for example, the concept of adjacency) can be presented in a Geographical Database (GDB). This paper presents a conceptual approach to allow the end user, working in a Geographic Database (GDB) environment, to use data cube stored in a Statistical Database (SDB). In this context, we need to extend the geographic data structure with some special `functional attributes'. They support links between environments mentioned above through geographic dimensions always implicitly or explicitly present in SDB. Therefore, the main objective of this paper is to propose a solution to answer queries involving data stored in both environments in a transparent way to the user. Then, a query language to support the integration of multidimensional operators with geographic operators is proposed. Finally, the main characteristics of the proposed approach are illustrated through some examples. (literal)
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