An assertion retrieval algebra for object queries over knowledge bases

  • Authors:
  • Jeffrey Pound;David Toman;Grant Weddell;Jiewen Wu

  • Affiliations:
  • Cheriton School of Computer Science, University of Waterloo, Canada;Cheriton School of Computer Science, University of Waterloo, Canada;Cheriton School of Computer Science, University of Waterloo, Canada;Cheriton School of Computer Science, University of Waterloo, Canada

  • Venue:
  • IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
  • Year:
  • 2011

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Abstract

We consider a generalization of instance retrieval over knowledge bases that provides users with assertions in which descriptions of qualifying objects are given in addition to their identifiers. Notably, this involves a transfer of basic database paradigms involving caching and query rewriting in the context of an assertion retrieval algebra. We present an optimization framework for this algebra, with a focus on finding plans that avoid any need for general knowledge base reasoning at query execution time when sufficient cached results of earlier requests exist.