IQ: The Case for Iterative Querying for Knowledge

Large knowledge bases, the Linked Data cloud, and Web 2.0 communities open up new opportunities for deep question answering to support the advanced information needs of knowledge workers like students, journalists, or business analysts. This calls for going beyond keyword search, towards more expressive ways of entity-relationship-oriented querying with graph constraints or even full-edged languages like SPARQL (over graph-structured, schema-less data). However, a neglected aspect of this active research direction is the need to support also query refinements, relaxations, and interactive exploration, as single-shot queries are often in-sufficient for the users' tasks.

Provided by: Hebrew University of Jerusalem Topic: Data Management Date Added: Jan 2011 Format: PDF

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