[cfp] Neurosymbolic AI & Ontology @ Neuroymbolic AI journal

*Special Issue on Neurosymbolic AI & Ontology*
*Description*
Neurosymbolic AI is the principled integration of neural learning and 
representation with symbolic learning and representation. It is, 
perhaps, inarguable that ontology is paramount as a vehicle for 
knowledge representation and reasoning. This call pertains to the 
intersection of the use of ontology (and other formal semantics) and 
neural systems of varying complexity.  Symbolic methods, particularly 
ontologies, capture knowledge in (generally) rigid ways that are 
guaranteed to be correct, and thus have predictable outputs, given their 
underlying logical natures. Yet, these guarantees come with expensive 
side-effects. Reasoning breaks in the face of inconsistent data and is 
computationally intensive. On the other hand, neural systems can manage 
vast quantities of data to extract surprising insight. Yet, these 
systems – especially at the highest levels of complexity – can be prone 
to hallucination or confabulation. In essence, we seek submissions that 
bridge the complementary approaches of symbolic representation and 
reasoning (i.e., in the form of ontologies) and neural systems, broadly 
defined, that address these challenges, and tackle important, emerging, 
or foundational topics in Neurosymbolic AI. Non-exhaustively, we are 
interested in submissions that address the following.

  *
    Ontology Embeddings
  *
    Ontology Engineering with Large Language Models
      o
        Using Prompts to Engineer Ontologies
      o
        Using Ontologies to Engineer Prompts
  *
    Post-symbolic Processing with Neural Systems
  *
    Neural Systems for Ontology Matching
  *
    Ontology Alignment with Neural Systems
  *
    Reasoning with Neural Systems

*Timeline*

  *
    Deadline: November 15, 2024

*Guest editors*

  *
    Mehwish Alam, Institut Polytechnique de Paris, France
  *
    Genet Asefa Gesese, FIZ Karlsruhe, Karlsruhe Institute of
    Technology, Germany
  *
    Ernesto Jiménez-Ruiz, City, University of London, UK
  *
    Heiko Paulheim, University of Mannheim, Germany
  *
    Cogan Shimizu, Wright State University, USA

*Guest Editorial Board*

  *
    Catia Pesquita, University of Lisbon, Portugal
  *
    Cassia Trojahn, Institut de Recherche en Informatique de Toulouse
  *
    Brandon Dave, Wright State University, USA
  *
    Mathieu d'Aquin, LORIA, France
  *
    Pierre Monnin, WIMMICS, France
  *
    Adrita Barua, Kansas State University, USA
  *
    Nikita Gautam, Kansas State University, USA
  *
    Lise Stork, Vrije Universiteit Amsterdam, The Netherlands
  *
    Sven Hertling, KIT, Germany; FIZ Karlsruhe,Germany
  *
    Shufan Jiang, KIT, Germany; FIZ Karlsruhe, Germany
  *
    Stefano De Giorgis, ISTC-CNR, Italy
  *
    Angelo Salatino, Knowledge Media Institute (KMi) of the Open
    University, UK
  *
    Nicolas Lazzari, University of Bologna, Italy

-- 
Pascal Hitzler
Lloyd T. Smith Creativity in Engineering Chair
Director, Center for AI and Data Science CAIDS
Director, Inst. for Digital Agriculture and Adv. Analyt. ID3A
Kansas State Universityhttp://www.pascal-hitzler.de
http://www.daselab.org     http://www.semantic-web-journal.net
http://k-state.edu/ID3A    https://neurosymbolic-ai-journal.com