Due to the large amount of social network data produced at an ever growing speed and their complex nature, recent works have addressed the prob- lem of efficiently querying such data according to social, temporal or spatial di- mensions. In this work we propose a data model that keeps into account all these dimensions and we compare different approaches for efficient query execution on a large real dataset using standard relational technologies.
V. Cozza, A. Messina, D. Montesi, L. Arietta, M. Magnani (2013). Spatio-Temporal Keyword Queries in Social Networks. Berlino : Springer Berlin Heidelberg [10.1007/978-3-642-40683-6_6].
Spatio-Temporal Keyword Queries in Social Networks
MESSINA, ANTONIO;MONTESI, DANILO;
2013
Abstract
Due to the large amount of social network data produced at an ever growing speed and their complex nature, recent works have addressed the prob- lem of efficiently querying such data according to social, temporal or spatial di- mensions. In this work we propose a data model that keeps into account all these dimensions and we compare different approaches for efficient query execution on a large real dataset using standard relational technologies.File in questo prodotto:
Eventuali allegati, non sono esposti
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
