Open-World Probabilistic Databases: An Abridged Report

Ismail Ilkan CeylanIsmail Ilkan Ceylan, Adnan DarwicheAdnan Darwiche, Guy Van Den BroeckGuy Van Den Broeck

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Ismail Ilkan Ceylan, Adnan Darwiche, Guy Van Den Broeck
Open-World Probabilistic Databases: An Abridged Report
In Carles Sierra, eds., Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), to appear

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KurzfassungAbstract
Large-scale probabilistic knowledge bases are be- coming increasingly important in academia and industry alike. They are constantly extended with new data, powered by modern information extraction tools that associate probabilities with database tuples. In this paper, we revisit the semantics underlying such systems. In particular, the closed-world assumption of probabilistic databases, that facts not in the database have probability zero, clearly conflicts with their everyday use. To address this discrepancy, we propose an open-world probabilistic database semantics, which relaxes the probabilities of open facts to default intervals. For this open- world setting, we lift the existing data complexity dichotomy of probabilistic databases, and propose an efficient evaluation algorithm for unions of conjunctive queries. We also show that query evaluation can become harder for non-monotone queries.
Forschungsgruppe:Research Group: AutomatentheorieAutomata Theory

@inproceedings{CDB2017,
  author    = {Ismail  Ilkan Ceylan and Adnan Darwiche and Guy Van Den Broeck},
  title     = {Open-World Probabilistic Databases: An Abridged Report},
  editor    = {Carles Sierra},
  booktitle = {Proceedings of the 26th International Joint Conference on
               Artificial Intelligence (IJCAI 2017)},
  year      = {2017}
}