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<h2 id="preliminary-call-for-papers">Call for Papers</h2>
<p><strong>Large Language Models for Knowledge Graph and Ontology
Engineering</strong><br>
<em>2024 AAAI Fall Symposium</em></p>
<p>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.</p>
<p>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.</p>
<p><strong>Topics</strong> include, but are not limited to:</p>
<ul>
<li>LLMs for Knowledge Graph and Ontology Creation</li>
<li>LLMs for Ontology and Entity Mapping</li>
<li>LLMs for Knowledge Graph and Ontology Evolution</li>
<li>LLMs for Knowledge Graph access and use</li>
<li>LLMs as Natural Language Interfaces for Knowledge Graphs and
Ontologies</li>
</ul>
<p><strong>Format</strong> 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.</p>
<p><strong>Submission</strong> of papers:</p>
<ul>
<li>Full papers (for oral presentation): 8-10 pages (not counting
references).</li>
<li>Short papers (for poster presentation): 3-4 pages (not
counting references).</li>
<li>Lightning talks (for brief spotlight presentation): 1-2 pages
extended abstract (not counting references).</li>
</ul>
<p>Submissions are to be made via the official AAAI Symposium
Easychair submission portal at <a class="moz-txt-link-freetext"
href="https://easychair.org/my/conference?conf=fss24"
moz-do-not-send="true">https://easychair.org/my/conference?conf=fss24</a>.
You must choose from the appropriate symposia from the available
tracks.</p>
<p><strong>Deadline</strong> for submission of papers: July 31,
2024.<br>
</p>
<p><strong>Symposium Committee</strong>:</p>
<ul>
<li>Pascal Hitzler, Kansas State University, USA (<a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:hitzler@ksu.edu" moz-do-not-send="true">hitzler@ksu.edu</a>)</li>
<li>Andrea Nuzzolese, CNR, Italy (<a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:andrea.nuzzolese@gmail.com"
moz-do-not-send="true">andrea.nuzzolese@gmail.com</a>)</li>
<li>Catia Pesquita, Universidade de Lisboa, Portugal (<a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:clpesquita@fc.ul.pt" moz-do-not-send="true">clpesquita@fc.ul.pt</a>)</li>
<li>Cogan Shimizu, Wright State University (<a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:cogan.shimizu@wright.edu" moz-do-not-send="true">cogan.shimizu@wright.edu</a>)</li>
</ul>
<p><b>For more information</b>, see <a
class="moz-txt-link-freetext"
href="https://kastle-lab.github.io/llms-and-kg-engineering/"
moz-do-not-send="true">https://kastle-lab.github.io/llms-and-kg-engineering/</a>
<br>
</p>
<pre class="moz-signature" cols="72">--
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 <a class="moz-txt-link-freetext"
href="http://www.pascal-hitzler.de" moz-do-not-send="true">http://www.pascal-hitzler.de</a>
<a class="moz-txt-link-freetext" href="http://www.daselab.org"
moz-do-not-send="true">http://www.daselab.org</a> <a
class="moz-txt-link-freetext"
href="http://www.semantic-web-journal.net" moz-do-not-send="true">http://www.semantic-web-journal.net</a>
<a class="moz-txt-link-freetext" href="http://k-state.edu/ID3A"
moz-do-not-send="true">http://k-state.edu/ID3A</a> <a
class="moz-txt-link-freetext"
href="https://neurosymbolic-ai-journal.com" moz-do-not-send="true">https://neurosymbolic-ai-journal.com</a></pre>
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