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An Assertion Retrieval Algebra for Object Queries over Knowledge Bases

Jeffrey Pound, David Toman, Grant E. Weddell, Jiewen Wu
IJCAI 2011 pp. 1051-1056
doi:10.5591/978-1-57735-516-8/IJCAI11-180 /ijcai/2011/pound2011ijcai-assertion/

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.

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Cite

Text

Pound et al. "An Assertion Retrieval Algebra for Object Queries over Knowledge Bases." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-180

Markdown

[Pound et al. "An Assertion Retrieval Algebra for Object Queries over Knowledge Bases." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/pound2011ijcai-assertion/) doi:10.5591/978-1-57735-516-8/IJCAI11-180

BibTeX

@inproceedings{pound2011ijcai-assertion,
  title     = {{An Assertion Retrieval Algebra for Object Queries over Knowledge Bases}},
  author    = {Pound, Jeffrey and Toman, David and Weddell, Grant E. and Wu, Jiewen},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {1051-1056},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-180},
  url       = {https://mlanthology.org/ijcai/2011/pound2011ijcai-assertion/}
}