URSW 2016 - 12th International Workshop on Uncertainty Reasoning for the Semantic Web

ISWC is a major international forum for presenting visionary research on
all aspects of the Semantic Web. The Uncertainty Reasoning workshop is
an exciting opportunity for collaboration and cross-fertilization
between the uncertainty reasoning community and the Semantic Web /
Linked Data community.
Effective methods for reasoning under uncertainty are vital for
realizing many aspects of the Semantic Web vision, but the ability of
current-generation web technology to handle uncertainty remains
extremely limited. Thus, there is a continuing demand for uncertainty
reasoning technology among Semantic Web researchers and developers, and
the URSW workshop creates a unique opening to bring together two
communities with a clear commonality of interest but limited history of
interaction. By capitalizing on this opportunity, URSW could spark
dramatic progress toward realizing the Semantic Web vision.
## AUDIENCE
The intended audience for this workshop includes the following
* Researchers in uncertain reasoning technologies with interest in the
Semantic Web and Linked Data
* Semantic Web and Linked Data developers and researchers
* People in the knowledge representation community with interest in the
Semantic Web and Linked Data
* Ontology researchers and ontological engineers
* Web services researchers and developers with interest in the Semantic Web
* Developers of tools designed to support semantic web implementation,
e.g., Jena developers, Protégé developers, OWL-API developers...
## TOPIC LIST
We intend to have an open discussion on any topic relevant to the
general subject of uncertainty in the Semantic Web and Linked Data
(including fuzzy theory, probability theory, and other approaches).
Therefore, the following list should be just an initial guide.
* Syntax and semantics for extensions to Semantic Web / Linked Data
languages to enable representation of uncertainty
* Logical formalisms to support uncertainty in Semantic Web / Linked
Data languages
* Probability theory as a means of assessing the likelihood that terms
in different ontologies refer to the same or similar concepts
* Architectures for applying plausible reasoning to the problem of
ontology mapping
* Using fuzzy approaches to deal with imprecise concepts within ontologies
* The concept of a probabilistic ontology and its relevance to the
Semantic Web
* Best practices for representing uncertain, incomplete, ambiguous, or
controversial information in the Semantic Web / Linked Data
* The role of uncertainty as it relates to web services and cloud computing
* Interface protocols with support for uncertainty as a means to improve
interoperability among web services
* Uncertainty reasoning techniques applied to trust issues in the
Semantic Web and Linked Data
* Existing implementations of uncertainty reasoning tools in the context
of the Semantic Web and Linked Data
* Issues and techniques for integrating tools for representing and
reasoning with uncertainty;
* The future of uncertainty reasoning for the Semantic Web and Linked Data
## IMPORTANT DATES
| Date | Description
| --- | ---
| July 07 | Paper submissions due
| July 31 | Paper acceptance notification
| August 07 | Camera-ready papers due
| Oct 17 or 18 | 12th Workshop on Uncertainty Reasoning for the Semantic Web
## SUBMISSION DETAILS
The URSW will be accepting submissions of technical papers and position
papers. Each submission will be evaluated for acceptability by at least
three members of the Program Committee. Decisions about acceptance will
be based on relevance to the above topic list, originality, potential
significance, topicality and clarity. Since all accepted papers will be
presented at the workshop, we require that at least one of the
submitting authors must be a registered participant at the ISWC 2016
Conference, and committed to attend the URSW Workshop.
Submissions to the workshop are only accepted in electronic format and
should be sent via the workshop’s EasyChair submission site:
http://www.easychair.org/conferences/?conf=ursw201...
Papers must be formatted in the style of the Springer Publications
format for Lecture Notes in Computer Science (LNCS). This is the very
same format adopted by the ISWC 2016. For complete details, see
Springer’s Author Instructions
(http://www.springer.com/computer/lncs?SGWID=0-164-...).
Technical papers submitted to the URSW Workshop must not exceed 12
pages, including figures and references. Submissions exceeding this
limit will not be reviewed.
Position papers consist of a summary of ideas, projects, or any research
efforts that are relevant to the URSW Workshop and must not exceed 4 pages.
Following the general acceptance rules of the ISWC 2016 conference,
papers that, at the time of submission, are under review for or have
already been published in or accepted for publication in a journal or
another conference will not be accepted to the URSW workshop.
## PRESENTATION AND PUBLICATION
All papers accepted to the URSW will be presented during the workshop
and published in the workshop proceedings. Authors of accepted technical
papers will have 20 minutes to present their work, while authors of
accepted position papers will have a 10-minute slot to share their
ideas. After each presentation, 5 minutes will be allocated to questions
from the audience. Both technical and position papers will be published
in the URSW workshop proceedings, to be available after the ISWC 2016
conference.
In addition, we are planning a journal special issue or Lecture Notes in Computer Science/
Lecture Notes in Artificial Intelligence (LNCS/LNAI) volume with selected extended and revised versions of technical papers presented at URSW 2016.
## ORGANIZING COMMITTEE
* Fernando Bobillo - University of Zaragoza, Spain
* Rommel N. Carvalho - Brazil's Office of the Comptroller General /
University of Brasília, Brazil
* Davide Ceolin - VU University Amsterdam, The Netherlands
* Paulo C. G. Costa - George Mason University, USA
* Claudia d’Amato - University of Bari, Italy
* Nicola Fanizzi - University of Bari, Italy
* Kathryn Laskey - George Mason University, USA
* Kenneth J. Laskey ? MITRE Corporation, USA
* Thomas Lukasiewicz ? University of Oxford, UK
* Trevor Martin - University of Bristol, UK
* Matthias Nickles ? INSIGHT Centre for Data Analytics, National
University of Ireland, Galway, Ireland
* Michael Pool - Credit Suisse, USA