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ECAI 2020 The development of effective techniques for knowledge representation and reasoning (KRR) is a crucial aspect of successful intelligent systems. Different representation paradigms, as well as their use in dedicated reasoning systems, have been extensively studied in the past. Nevertheless, new challenges, problems, and issues have emerged in the context of knowledge representation in Artificial Intelligence (AI), involving the logical manipulation of increasingly large information sets (see for example Semantic Web, BioInformatics and so on). Improvements in storage capacity and performance of computing infrastructure have also affected the nature of KRR systems, shifting their focus towards representational power and execution performance. Therefore, KRR research is faced with a challenge of developing knowledge representation structures optimized for large scale reasoning. This new generation of KRR systems includes graph-based knowledge representation formalisms such as Bayesian Networks (BNs), Semantic Networks (SNs), Conceptual Graphs (CGs), Formal Concept Analysis (FCA), CP-nets, GAI-nets, Argumentation Frameworks all of which have been successfully used in a number of applications. The goal of this workshop is to bring together the researchers involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques.

Workshop Venue and Program

The workshop will take place together with the virtual ECAI conference: We will use zoom as a platform.

  • Joining link:
  • Meeting ID: 967 6980 4368
  • Password: 551265

Date: 5 September 2020

Worshop Schedule (all times CEST)

time Authors Title
13:00‑13:10   Introduction
13:10-13:30 Iain Stalker and Nikolay Kazantsev Collaborative Design and Manufacture: Information Structures for Team Formation and Coordination
13:30-13:50 Simon Polovina, Wim Laurier, Mark von Rosing and Matt Baxter Activating Metamodels with Conceptual Structures in Layered Enterprise Architecture
13:50-14:10 Ovidiu Sonea Usage Patterns Identification Using Graphs and Machine Learning
14:10-14:30 Marie Bernert and Fano Ramparany A Belief Revision System Using an Event Transition Model for Location of People in a Smart Home
14:30-14:50 BREAK  
14:50-15:10 Zhenting Liu and Yiwei Zhang Hypergraph based graph neural network for literature discovery
15:10-15:30 Graham Mann, Beena Kishore and Pyara Dhillon A Natural Language Generation Technique for Automated Psychotherapy
15:30-15:50 Uta Priss Set Visualisations with Euler and Hasse Diagrams
15:50-16:10 Remi Wieten, Floris Bex, Henry Prakken and Silja Renooij Deductive and Abductive Reasoning with Causal and Evidential Information
16:10-16:30 Luis Angel Montiel Moreno and Mauricio Osorio Efriend ::Creative Composition Problem: Knowledge Graph Logical-based AI Construction and Optimization Solution. (Applied in Architecture of AI Agent Chat-bot System for Well-being and Mental Health)


Subission deadline: 16 March 2020
Notification date: 13 April 2020

Due to the COVID-19 pandemic we are forced to postpone the susmission deadlines for our workshop. Also check the ECAI COVID-19 website for updates. Note that workshop authors and participants can attend the workshop for free. more information from .

New dates:

Subission deadline: 3 July 2020
Notification date: 31 July 2020

Please submit your papers using the EasyChair system here

Note that the paper format must respect the ECAI paper format and must be no longer than 8 pages in length. Reviewing will NOT be double blind.

The authors are be responsible for producing camera-ready copies of their papers, conforming to the ECAI 2020 formatting guidelines, for inclusion in the online proceedings. Note that at least one author of each accepted paper/poster is required to register and attend the workshop in order to present the paper.

Extended versions of the accepted papers will be published in a Springer LNAI series post proceedings available. The deadline for Post Proceedings submission is around September 2020 with a planned publication date in December 2020.


The workshop welcomes contributions that address graph-based representation and reasoning paradigms from a theoretical, algorithmic and application viewpoint. The formalisms of interest include but are not limited to:

  • Graph structures for machine learning
  • Graph structures for preference modelling (CP-Nets, GAI-Nets)
  • Graphs structures in argumentation
  • Graphs for the Semantic Web (Property Graphs, Knowledge Graphs, etc.)
  • Formal Concept Analysis
  • Existential Graphs and Conceptual Graphs
  • Euler Diagrams


As with previous editions, Post-Proceedings of the workshop will be published in a special issue of the SPRINGER LNAI Series. Check the previous GKR Springer Post Proceedings here.


Organising committee:

  • Madalina Croitoru, LIRMM and INRIA, Univ Montpellier, France
    • Email:
    • Postal address:LIRMM, 161 rue ADA, F34392 Montpellier Cedex 5
  • Pierre Marquis, CRIL-CNRS, rue Jean Souvraz, LENS, France
  • Sebastian Rudolph, Fakultät Informatik, Technische Universität Dresden, Germany
  • Michael Cochez, Vrije Universiteit Amsterdam, Netherlands

Program committee:

  • Bruno Yun, The University of Aberdeen
  • Nic Wilson, Insight UCC, Cork
  • Srdjan Vesic, CRIL, CNRS – Univ. Artois
  • Wamberto Vasconcelos, Department of Computing Science, University of Aberdeen
  • Karim Tabia, Artois University
  • Sławek Staworko, INRIA
  • Fatiha Saïs, LRI ( Paris Sud University & CNRS8623), Paris Saclay University
  • Ricardo Oscar Rodriguez, Departamento de Computacin. F.C.N.yN.-UBA
  • Uta Priss, Ostfalia University
  • Simon Polovina, Sheffield Hallam University
  • Nathalie Pernelle, LRI-Universit Paris SUD
  • Nir Oren, University of Aberdeen
  • Jérôme Lang, CNRS, LAMSADE, Université Paris-Dauphine
  • Markus Krötzsch, TU Dresden
  • Mary Keeler, VivoMind, Inc.
  • Robert Jäschke, Humboldt-Universität zu Berlin
  • Nathalie Hernandez, IRIT
  • Dragan Doder, Utrecht University
  • Olivier Corby, INRIA
  • Dan Corbett, Optimodal Technologies
  • Zied Bouraoui, CRIL - CNRS & Univ Artois
  • Pierre Bisquert, INRA
  • Moulin Bernard, Laval University
  • Salem Benferhat, Cril, CNRS UMR8188, Université d’Artois
  • Manuel Atencia, Univ. Grenoble Alpes & INRIA
  • Galia Angelova, Institute for Parallel Processing, Bulgarian Academy of Sciences

  Last update: September 2020.