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dc.contributor.authorMartínez Bazán, Norbert
dc.contributor.authorMuntés Mulero, Víctor
dc.contributor.authorGómez Villamor, Sergio
dc.contributor.authorNin Guerrero, Jordi
dc.contributor.authorSánchez Martínez, Mario
dc.contributor.authorLarriba Pey, Josep
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.identifier.citationMartinez, N. [et al.]. DEX: High-performance exploration on large graphs for information retrieval. A: ACM Conference on Information and Knowledge Management. "ACM Conference on Information and Knowledge Management". Lisbon: 2007, p. 573-582.
dc.description.abstractLink 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.
dc.format.extent10 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Emmagatzematge i recuperació de la informació
dc.subject.lcshHeterogeneous databases
dc.subject.lcshInformation retrieval
dc.titleDEX: High-performance exploration on large graphs for information retrieval
dc.typeConference report
dc.subject.lemacInformació -- Sistemes d'emmagatzematge i recuperació
dc.subject.lemacBases de dades heterogènies
dc.contributor.groupUniversitat Politècnica de Catalunya. DAMA-UPC - Data Management Group
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
upcommons.citation.authorMartinez, N.; Muntés, V.; Gomez, S.; Nin, J.; Sánchez, M.; Larriba, J.
upcommons.citation.contributorACM Conference on Information and Knowledge Management
upcommons.citation.publicationNameACM Conference on Information and Knowledge Management

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