Proceedings

Efficient Reasoning in Proper Knowledge Bases with Unknown Individuals

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Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 827-831.

https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-144

Abstract

This work develops an approach to efficient reasoning in first-order knowledge bases with incomplete information. We build on Levesque's proper knowledge bases approach, which supports limited incomplete knowledge in the form of a possibly infinite set of positive or negative ground facts. We propose a generalization which allows these facts to involve unknown individuals, as in the work on labeled null values in databases. Dealing with such unknown individuals has been shown to be a key feature in the database literature on data integration and data exchange. In this way, we obtain one of the most expressive first-order open-world settings for which reasoning can still be done efficiently by evaluation, as in relational databases. We show the soundness of the reasoning procedure and its completeness for queries in a certain normal form.

Giuseppe De Giacomo, Yves Lespérance, and Hector J. Levesque. 2011. Efficient Reasoning in Proper Knowledge Bases with Unknown Individuals. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 827–831. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-144
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