Data retrieval from massive information structures

Project description

Information search is an essential tool.  But most current services regard the data as unstructured collections of independent documents, free of context.  Next-generation search applications, such as over social networks, or corporate websites, or XML data sets, must account for the inherent relationships between data items, and must allow the efficient inclusion of search context.  Queries should favor semantically local data, giving results that depend on the perceived state of the querier.  This project will develop indexing and search techniques for massive structured data sets.  The new search methods will incorporate theoretical advances and will be experimentally validated using industry-standard open-source distributed systems.

Project team

Leader: Alistair Moffat

Staff: Alistair Moffat, Anthony Wirth

Sponsors: Australian Research Council

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Networks and data in society


data structures; Information retrieval; knowledge discovery; large-scale systems