index - ICCS 2016 <br> The International Conference on Conceptual Structures

 

ICCS 2016

The 22nd International Conference on Conceptual Structures

Annecy, France (5 au 7 july 2016)

 

 

The International Conferences on Conceptual Structures (ICCS) focus on the formal analysis and representation of conceptual knowledge, at the crossroads of artificial intelligence, computational linguistics, and related areas of computer science. The ICCS conferences evolved from a series of seven annual workshops on conceptual graphs, starting with an informal gathering hosted by John F. Sowa in 1986. Recently, graph-based knowledge representation and reasoning (KRR) paradigms are getting more and more attention.

The aim of the ICCS 2016 conference is to build upon its long standing expertise in graph-based KRR and focus on providing modelling, formal and application results of graph-based systems.

ICCS 2016 will be co-located with FOIS 2016, held in Annecy, in the Polytech building at the campus of the University of Savoie.

The conference welcomes contributions that address graph-based representation and reasoning paradigms (e.g. Bayesian Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual Graphs (CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph Databases, Diagrams, etc.) from a modelling, theoretical and application viewpoint:

  • Modelling results will investigate concrete real world needs for graph-based representation, how certain use cases are of interest to the graph community, how using graphs can bring added (business) value, what kind of graph representation is needed for a given case, etc.

  • Technical results will include fundamental graph theory based results for novel structures for representation, extensions of existing structures for added expressivity, conciseness, optimisation algorithms for reasoning, reasoning explanation, etc.

  • Papers reporting on application experience will be expected to demonstrate the benefits of the graph-based proposed solutions in the context of the use case studied with respect to other possible solutions.

The main research topics are:

  • Knowledge Management,
  • Knowledge Architectures,
  • Reasoning under Inconsistency,
  • Knowledge Representation and Uncertainty,
  • Contextual Logic,
  • Constraint Satisfaction,
  • Decision Making,
  • Argumentation,
  • Ontologies,
  • Semantic Web,
  • Web of Data,
  • Web 2.0,
  • Conceptual Knowledge Acquisition,
  • Data Mining,
  • Text Mining,
  • Natural Language Processing,
  • Linguistics,
  • Metaphoric, Cultural or Semiotic Considerations,
  • Resource Allocation and Agreement Technologies.

 

Keynote speakers

 Fabien Gandon

Dr. Fabien Gandon

 Majeta Jamnik

Dr. Majeta Jamnik

 

 

 

 

 

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