=Paper= {{Paper |id=None |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-613/preface.pdf |volume=Vol-613 }} ==None== https://ceur-ws.org/Vol-613/preface.pdf
                                    Preface
During the recent decade, handling uncertainty has started to play an impor-
tant role in ontology languages, especially in application areas like the Semantic
Web, Bio-medicine, and Artificial Intelligence. For this reason, there is currently
a strong research interest in Description Logics (DLs) that allow for dealing
with uncertainty. The subject of the First International Workshop on Uncer-
tainty in Description Logics (UniDL ’10) was how to deal with uncertainty and
imprecision in DLs. This encompasses approaches that enable probabilistic or
fuzzy reasoning in DLs, but the workshop was also open for approaches based
on other uncertainty formalisms. The workshop focused on the investigation
of reasoning problems and approaches for solving them, including especially
tractable ones. For classical DL reasoning problems such as subsumption and
satisfiability, algorithms that can handle uncertainty exist, but they are still
less well-investigated than in the case of standard DLs without uncertainty. For
novel reasoning services, such as query answering, computation of generaliza-
tions, modules, or explanations, it is not yet clear how to realize them in DLs
that can express uncertainty.
    Topics of interest included but were not limited to: (1) modeling of uncertain
knowledge in DLs; (2) different formalizations of uncertainty for DLs; (3) formal
semantics for uncertain information in DLs; (4) extensions of DL reasoning prob-
lems to uncertainty; (5) reasoning algorithms for DLs with uncertainty; in partic-
ular, (6) tableau algorithms for probabilistic DLs or fuzzy DLs; (7) tractable DLs
with uncertainty; (8) complexity of uncertain reasoning; (9) system descriptions
for implemented reasoning algorithms in uncertain DLs; and (10) novel applica-
tions of DLs with uncertainty.
    These proceedings contain the papers presented at the First International
Workshop on Uncertainty in Description Logics (UniDL ’10), which was held in
Edinburgh, UK, July 20, 2010. It contains 5 technical papers and 2 system de-
scriptions, which were selected in a careful reviewing process, where each paper
was reviewed by at least three program committee members. These proceed-
ings also contain an extended abstract of the invited talk.
    We wish to thank all authors who submitted papers and all workshop partic-
ipants for fruitful discussions. We are grateful to Ralf Möller for his invited talk
at the workshop. We would like to thank the program committee members and
external referees for their timely expertise in carefully reviewing the submissions.
Many thanks also to the developers of the EasyChair Conference System, which
we used for the reviewing process and the preparation of these proceedings.

July 2010                                                     Thomas Lukasiewicz
                                                                  Rafael Peñaloza
                                                              Anni-Yasmin Turhan
                   Workshop Organization



Program Chairs
Thomas Lukasiewicz (Oxford University, UK)
Rafael Peñaloza (TU Dresden, Germany)
Anni-Yasmin Turhan (TU Dresden, Germany)


Program Committee
Eyal Amir (University of Illinois, Urbana-Champaign, USA)
Fernando Bobillo (University of Zaragoza, Spain)
Simona Colucci (Technical University of Bari, Italy)
Fabio G. Cozman (University of Sao Paulo, Brazil)
Manfred Jaeger (Aalborg University, Denmark)
Pavel Klinov (University of Manchester, UK)
Ralf Möller (Hamburg University of Technology, Germany)
Mathias Niepert (University of Mannheim, Germany)
Guilin Qi (Southeast University, China)
Stefan Schlobach (Vrije Universiteit Amsterdam, The Netherlands)
Luciano Serafini (IRS Trento, Italy)
Giorgos Stoilos (Oxford University, UK)
Umberto Straccia (ISTI-CNR, Italy)


External Referees
Abner Guzman-Rivera (University of Illinois, Urbana-Champaign, USA)


Sponsors
This workshop was generously supported by Elsevier’s Artificial Intelligence
Journal.