Managing Complex and Varied Data with the IndexFabric Neal Sample, Brian Cooper, Michael Franklin, Gísli Hjaltason, Moshe Shadmon, and Levy Cohen   View Paper (PDF)   Return to Demonstrations Abstract Emerging networked applications present significant challenges for traditional data management techniques for two reasons. First, they are based on data encoded in XML, LDAP directories, etc. that typically have complex inter-relationships. Second, the dynamic nature of networked applications and the need to integrate data from multiple sources results in data that is semior irregularly structured. The IndexFabric has been developed to meet both these challenges. In this demonstration, we show how the IndexFabric efficiently encodes and indexes very large collections of irregular, semistructured, and complex data DiSC'03 © 2003 Association for Computing Machinery