Slava
Sazonau
(Viachaslau
Sazonau)
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Contact
me
sazonauv@gmail.com
LinkedIn
Room
2.89, Kilburn Building
School of Computer
Science
University of Manchester
Oxford Road,
Manchester
M13 9PL, UK
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About
me
I
am a computer scientist at the University of Manchester
where I hold a research associate position in the School of
Computer Science.
My
research interests
are in the broad area of Artificial Intelligence:
knowledge
representation and reasoning (Description Logics, Semantic
Web, OWL, RDF)
machine
learning and data mining, in particular Semantic Web
applications
natural
language processing and understanding, in particular
knowledge-aware and ontology-based methods
I
enjoy investigating avenues where knowledge and data,
reasoning and learning meet together and nice applications
can potentially emerge from that convergence. My PhD
in semantic data mining
(Link),
under amazing supervision of Uli
Sattler, was devoted to one of such avenues.
If
you are interested in one of these topics, just drop me a
line!
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My
research
I
have investigated computational performance of Description
Logic/OWL reasoners which are highly optimized
implementations of algorithms for deductive reasoning over
ontologies. Due to complexity of the input, their
performance varies significantly across inputs. I have
analysed ontological features and developed algorithms that
predict reasoning performance by inspecting the
input ontology.
I
have done research in expressive probabilistic logics,
in particular, extensions of the standard semantics of
Description Logics to capture probabilistic knowledge. I
have investigated probabilistic reasoning problems and
their computational complexity.
I am currently
investigating the problem of mining ontological
knowledge (logical formulae such as “having some
children implies being a father or mother”) from labelled
graph data. The developed approach, which is explained in
detail in my PhD thesis, can be used to
automatically
build or complete a domain ontology
reveal
new interesting domain knowledge
indicate
modelling errors or poor data quality
You
are welcome to try the tool, called
DL-Miner,
which is publicly
available
as a
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Publications
V.
Sazonau,
U. Sattler "Mining
Hypotheses from Data in OWL: Advanced Evaluation and
Complete Construction" 16th
International Semantic Web Conference (ISWC 2017), Vienna,
Austria Link
V.
Sazonau
"General
Terminology Induction in Description Logics"
PhD
thesis, The University of Manchester, 2017 Link
V.
Sazonau,
U. Sattler, G. Brown "General
Terminology Induction in OWL" 14th
International Semantic Web Conference (ISWC 2015),
Bethlehem, Pennsylvania, USA Link
PDF
V.
Sazonau,
U. Sattler, G. Brown "General
Terminology Induction in OWL" 12th
OWL: Experiences and Directions Workshop (OWLED 2015),
Bethlehem, Pennsylvania, USA Link
PDF
V.
Sazonau,
U. Sattler "TBox
Reasoning in the Probabilistic Description Logic SHIQp"
28th
International Workshop on Description Logics (DL 2015),
Athens, Greece, CEUR Workshop Proceedings Link
PDF
V.
Sazonau,
U. Sattler, G. Brown "Predicting
Performance of OWL Reasoners: Locally or Globally?"
14th
International Conference on Principles of Knowledge
Representation and Reasoning (KR 2014), Vienna, Austria,
AAAI Press Link
PDF
V.
Sazonau,
U. Sattler, G. Brown "Predicting
OWL Reasoners: Locally or Globally?"
27th
International Workshop on Description Logics (DL 2014),
Vienna, Austria, CEUR Workshop Proceedings Link
PDF
V.
Sazonau
"Performance
Prediction of OWL Reasoners"
Master's
thesis, The University of Manchester, 2013 PDF
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