DEX: High-performance exploration on large graphs for information retrieval
Document typeConference report
Rights accessRestricted access - publisher's policy
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.
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.