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.
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:
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