Connectionists: Call for late-breaking results: AAAI Fall Symposium on LLMS for ontology and knowledge graph engineering

[Pascal Hitzler]

Call for late-breaking presentation abstracts

*Large Language Models for Knowledge Graph and Ontology Engineering*
/2024 AAAI Fall Symposium/

Large Language Models (LLMs) and Knowledge Graphs (KGs) are highly 
trending. The interplay between these two technologies can go both ways, 
but the two directions are quite different in approach. This symposium 
specifically focuses on how LLMs can be used as tools to augment the 
extant capacity for ontology and knowledge graph engineering. Knowledge 
Graph Engineering (KGE) and Ontology Engineering (OE – together KG/OE) 
challenges in particular have to do with the (to date still) high 
involvement of humans and human expert in the KG/OE life cycle, 
including creation/modeling, alignment, evolution, reusability (from 
both ontological commitment and accessibility perspectives). The KG/OE 
communities have made steady progress in the past 20 years, but only now 
with LLMs, key KG/OE challenges appear to become addressable at scale.

The goal of this symposium to focus and coordinate research. We wish to 
create a space and foundational community for the sharing of ideas for 
prompt engineering, fine-tuning, neurosymbolic approaches, quality 
control, and human-in-the-loop methods: all with LLMs for OE/KGE.

*Topics* include, but are not limited to:

   * LLMs for Knowledge Graph and Ontology Creation
   * LLMs for Ontology and Entity Mapping
   * LLMs for Knowledge Graph and Ontology Evolution
   * LLMs for Knowledge Graph access and use
   * LLMs as Natural Language Interfaces for Knowledge Graphs and Ontologies

*Format* of the Symposium: The program will consist of presentations of 
accepted full papers, posters, lightning talks, keynotes, and 
significant time for panel and plenary discussions.

*Submission* of late-breaking results:

Please send a 1/2 to 1-page abstract in pdf format, indicating all 
authors and who would present, to hitzler at ksu.edu (no specific format 
required)

Abstracts will not be published, but accepted abstracts will get a 
presentation slot.

*Deadline* for submission: August 31, 2024.
(subject to space, we may follow up with additional calls)

*Symposium Committee*:

   * Pascal Hitzler, Kansas State University, USA (hitzler at ksu.edu)
   * Andrea Nuzzolese, CNR, Italy (andrea.nuzzolese at gmail.com)
   * Catia Pesquita, Universidade de Lisboa, Portugal (clpesquita at fc.ul.pt)
   * Cogan Shimizu, Wright State University (cogan.shimizu at wright.edu)

*For more information*, see 
https://kastle-lab.github.io/llms-and-kg-engineering/




-- 
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 University   http://www.pascal-hitzler.de
http://www.daselab.org    http://www.semantic-web-journal.net
http://k-state.edu/ID3A   https://neurosymbolic-ai-journal.com