Title
Dex: high-performance exploration on large graphs for information retrieval
Abstract
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.
Year
DOI
Venue
2007
10.1145/1321440.1321521
CIKM
Keywords
Field
DocType
high-performance exploration,information retrieval,link analysis,large graph databases,high performance graph database,data repository,different data source,different flavor,internet movie database,graph analysis tool,social network analysis,multiple data source,pattern recognition,social network,graph databases,data representation,database management,information retrieval system,social networks
Data mining,Graph database,Cognitive models of information retrieval,External Data Representation,Social network,Information retrieval,Computer science,Link analysis,Social network analysis,Power graph analysis,The Internet
Conference
Citations 
PageRank 
References 
51
2.53
14
Authors
6