AIC Seminar Series
Theory and Practice of Probabilistic Description Logic
Notice: Hosted by Vinay Chaudhri.
Date: 2011-06-17 at 10:00
Location: EJ228 (SRI E building) (Directions)
Combinations of Description Logic (DL) with probability are a
theoretically appealing way to tolerate various kinds of uncertainty
in OWL ontologies. This is especially important in areas where
uncertain concepts or statistical relationships are inherent features
of domain knowledge, for example, medicine. Unfortunately, there does
not seem to be a single, universally applicable probabilistic
extension to DL that would enable accommodation of all important kinds
of uncertainty, support plausible inference in all cases, and have
good computational properties. As a result, a large variety of
languages have been proposed, many of which have never been
implemented or applied, or have been labelled as inherently
In this talk I will present one particular probabilistic DL, called
P-SROIQ, which, differently from first-order extensions to Bayesian or
Markov networks, has a model-theoretic semantics in the style of
standard DLs. Its distinct feature is that it allows for adding
probabilities to any OWL ontology and, thus, supports a smooth reuse
of classical (i.e., non-probabilistic) knowledge. I will explain novel
reasoning methods, in particular, the probabilistic satisfiability
procedure, which scale beyond a thousand of probabilistic axioms
therefore making the logic a computationally practical formalism for a
range of applications. Finally, I'll present our experience in using
P-SROIQ to solve the long standing problem of finding all
inconsistencies in a large medical expert system CADIAG-2.
Pavel Klinov is a Research Scientist jointly employed by Clark & Parsia and the University of Arizona. He first worked for C&P as an intern in Summer 2007 and then joined in early 2011 after defending his PhD at the University of Manchester, UK.
Pavel seems to have an unexplained inability to spend more than 3 years in one place. After graduating with MSc in Computer Engineering from the Moscow Engineering Physics Institute he went to work in CERN, where he was basically a Java programmer. Being satiated of unbearably smooth life in Switzerland, he applied to a few randomly chosen PhD Schools in the US and got admitted to the University of Cincinnati, where his advisor was Dr. Lawrence Mazlack. Having spent 2.5 years there he was dragged across the Atlantic by Bijan Parsia and became his PhD student at the University of Manchester, working on probabilistic Description Logic (essentially continuing his initial work at C&P). It took him 3 years to graduate after which he moved to Boston. Now he works on various semantic stuff for C&P and ontology modularity for iPlant project in Arizona (supervised by Damian Gessler).
Please arrive at least 10 minutes early in order to sign in and be escorted to the conference room. SRI is located at 333 Ravenswood Avenue in Menlo Park. Visitors may park in the visitors lot in front of Building E, and should follow the instructions by the lobby phone to be escorted to the meeting room. Detailed directions to SRI, as well as maps, are available from the Visiting AIC web page.
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