[PlanetKR] 4th International IJCAI Workshop on Graph Based Knowledge Representation and Reasoning, Buenos Aires

[Pierre Marquis]

** apologies for multiple copies **

Call For Papers:
The Fourth IJCAI International Workshop on Graph Based Knowledge
Representation and Reasoning, July 2015, Buenos Aires, Argentina.

https://www.lirmm.fr/~croitoru/GKR/


Organizing Committee

   - Madalina Croitoru <http://www.lirmm.fr/%7Ecroitoru>, Univ Montpellier,
   France
   - Pierre Marquis
   <http://www.cril.univ-artois.fr/%7Emarquis/Home,_sweet_home.html>,
   CRIL-CNRS, France
   - Sebastian Rudolph <http://sebastian-rudolph.de/doku.php?id=home>, TU
   Dresden, Germany
   - Gem Stapleton <https://sites.google.com/site/stapletongem/home>,
   Engineering and Mathematics Moulescoomb Brighton, UK

Important dates:

   - *Submission Deadline: **April 26th, 2015*
   - GKR 2015 Workshop (1 day): *July 25th-31st, 2015*

*Post proceedings of the workshop will be published in a special issue of
the SPRINGER LNAI Series.*

Different paradigms for knowledge representation and their subsequent
manipulation by dedicated reasoning systems have been successfully studied
in the past. Nevertheless, new challenges, problems and issues have
appeared in the context of knowledge representation in AI that involve the
logical manipulation of increasingly large information sets (see for
example Semantic Web, the Open Linked Data initiative, Social Networks
etc.)  Therefore, research into KRR must move towards investigating
structures for representation optimally manipulated to perform large scale
reasoning, given very new and different constraints to those existing only
few years ago.

Included in this new generation of KRR systems are graph-based knowledge
representation formalisms. Such graph-based techniques have been
successfully deployed in different research areas as dedicated formalisms.
The advantages of graph-based KRR techniques are three-fold: (1) graphs
provide a natural paradigm for modeling domains with a very complex
structure; (2) a graph-based knowledge representation allows for a very
intuitive graphical explanation of the knowledge reasoning process and (3)
a graph-based knowledge representation typically allows for structure-based
optimization of the reasoning process. Graph-based knowledge representation
and reasoning is thus a growing area of research, spanning across different
domains, with more and more important contributions appearing over the last
few years. It is the investigation of further developments of KRR graph
techniques that we address within this workshop.

The workshop welcomes contributions on graph-based representation, query
and reasoning paradigms (e.g. Baysian Networks (BNs), Semantic Networks
(SNs), RDF/S, SPARQL \& RIF, Conceptual Graphs (CGs), Formal Concept
Analysis (FCA), Euler Diagrams, CP-Nets, GAI-Nets, etc.) from a theoretical
and application viewpoint. The papers will be judged from two perspectives:
technical and application. Technical results will include graph theory
based results for novel structures for representation, extensions of
existing structures for added expressivity, conciseness, optimisation
algorithms for reasoning, reasoning explanation mechanisms etc. Papers
reporting on application experience will be expected to demonstrate the
benefits of the proposed solutions. Examples of such domains include
Semantic Web, Grid Computing, BioInformatics, Multi Agent Systems,
Recommender Systems etc. The workshop is expected to bring together people
from different research communities that are actively pursuing this line of
research. We hope that the presentation of different perspectives on
employing graphs for knowledge representation and reasoning will be
mutually enriching and will stimulate further research.
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