Call For Papers

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, where available.

    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.

    Submission Information

We invite scientific papers of up to fourteen pages and posters of up to three pages. Submissions should be formatted according to LNCS guidelines:

https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

Submissions are to be made via the EasyChair page:

https://easychair.org/conferences/?conf=iccs2018