Towards Statistical Reasoning in Description Logics over Finite Domains (Full Version)
June 10, 2017 Β· Declared Dead Β· π Scalable Uncertainty Management
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Authors
Rafael PeΓ±aloza, Nico Potyka
arXiv ID
1706.03207
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LO
Citations
16
Venue
Scalable Uncertainty Management
Last Checked
4 months ago
Abstract
We present a probabilistic extension of the description logic $\mathcal{ALC}$ for reasoning about statistical knowledge. We consider conditional statements over proportions of the domain and are interested in the probabilistic-logical consequences of these proportions. After introducing some general reasoning problems and analyzing their properties, we present first algorithms and complexity results for reasoning in some fragments of Statistical $\mathcal{ALC}$.
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