CATALOGO DEI PRODOTTI DELLA RICERCA
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishIn many dierent application elds the amount and impor- tance of spatio-temporal data (i.e., temporally and/or spa- tially qualied data) is increasing in last years and users need new solutions for their management. In this paper we propose a spatio-temporal query language, called ST4SQL. The proposed language extends the well-known SQL syntax and the T4SQL temporal query language. The proposed query language deals with dierent temporal and spatial se- mantics. These semantics allow one to specify how the sys- tem must manage temporal and spatial dimensions for eval- uating the queries. Moreover, the query language introduces new constructs for grouping data with respect to temporal and spatial dimensions. Both semantics and grouping con- structs take into account and exploit data qualied with granularities.
| Titolo: | ST4SQL: a spatio-temporal query language dealing with granularities | |
| Autori: | ||
| Data di pubblicazione: | 2012 | |
| Abstract: | In many dierent application elds the amount and impor- tance of spatio-temporal data (i.e., temporally and/or spa- tially qualied data) is increasing in last years and users need new solutions for their management. In this paper we propose a spatio-temporal query language, called ST4SQL. The proposed language extends the well-known SQL syntax and the T4SQL temporal query language. The proposed query language deals with dierent temporal and spatial se- mantics. These semantics allow one to specify how the sys- tem must manage temporal and spatial dimensions for eval- uating the queries. Moreover, the query language introduces new constructs for grouping data with respect to temporal and spatial dimensions. Both semantics and grouping con- structs take into account and exploit data qualied with granularities. | |
| Handle: | http://hdl.handle.net/11562/428347 | |
| ISBN: | 9781450308571 | |
| Appare nelle tipologie: | 04.01 Contributo in atti di convegno |
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