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DEX: High-performance exploration on large graphs for information retrieval
Martínez Bazán, Norbert; Muntés Mulero, Víctor; Gómez Villamor, Sergio; Nin Guerrero, Jordi; Sánchez Martínez, Mario; Larriba Pey, Josep
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. DAMA-UPC - Data Management Group
Link and graph analysis tools are important devices to boost the richness of information retrieval systems. Internet and the existing social networking portals are just a couple of situations where the use of these tools would be beneficial and enriching for the users and the analysts. However, the need for integrating different data sources and, even more important, the need for high performance generic tools, is at odds with the continuously growing size and number of data repositories. In this paper we propose and evaluate DEX, a high performance graph database querying system that allows for the integration of multiple data sources. DEX makes graph querying possible in different flavors, including link analysis, social network analysis, pattern recognition and keyword search. The richness of DEX shows up in the experiments that we carried out on the Internet Movie Database(IMDb). Through a variety of these complex analytical queries, DEX shows to be a generic and efficient tool on large graph databases.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació
Heterogeneous databases
Information retrieval
Informació -- Sistemes d'emmagatzematge i recuperació
Bases de dades heterogènies
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