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style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">***
Apologies for cross-postings ***</font></span></p>
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style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">XAI-KRKG<font
face="arial, sans-serif" style="color:rgb(0,0,0)"> Workshop
@ECAI2025 - </font><font face="arial, sans-serif"
color="#ff0000">DEADLINE EXTENSION</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">----------------------------------------------------------------------</font></span></p>
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style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">1st
International Workshop on </font>Explainable AI, Knowledge
Representation, and Knowledge Graphs<font
face="arial, sans-serif" style="color:rgb(0,0,0)"> (XAI-KRKG)</font></span></p>
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style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">October
25-26, 2025</font></span></p>
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</font>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font
face="arial, sans-serif" style="color:rgb(0,0,0)"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">co-located
with ECAI 2025 (</span></font><a
href="https://ecai2025.org/" target="_blank"
class="moz-txt-link-freetext">https://ecai2025.org/</a><font
face="arial, sans-serif" style="color:rgb(0,0,0)"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">)
- Bologna, Italy</span></font></p>
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</font>
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style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font
face="arial, sans-serif" style="color:rgb(0,0,0)"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Web: </span></font><a
href="https://sites.google.com/unical.it/xai-krkgecai/"
target="_blank" class="moz-txt-link-freetext">https://sites.google.com/unical.it/xai-krkgecai/</a></p>
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</font>
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style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font
face="arial, sans-serif" style="color:rgb(0,0,0)"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Submission: </span></font><a
href="https://easychair.org/conferences?conf=xaikrkgecai2025"
target="_blank" class="moz-txt-link-freetext">https://easychair.org/conferences?conf=xaikrkgecai2025</a></p>
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</font>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">=========</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">IMPORTANT
DATES</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">=========</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">Paper
Submission Deadline: <strike>15th May 2025</strike> </font><font
face="arial, sans-serif" style="" color="#ff0000">15th
June 2025</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style=""><font color="#000000">Paper
Notification: </font><strike style="color:rgb(0,0,0)">6th
June 2025</strike><font color="#ff0000"> 7</font></font></span><span
style="font-family:arial,sans-serif"><font color="#ff0000">t</font></span><span
style="color:rgb(255,0,0);font-family:arial,sans-serif">h
July 2025</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">Camera
Ready: 17th September 2025</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">Workshop:
25-26 October 2025 (EXACT DAY TO BE CONFIRMED)</font></span></p>
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</font>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">=========</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">SCOPE</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif" style="color:rgb(0,0,0)">=========</font></span></p>
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<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt">The
integration of Explainable AI (XAI) with Knowledge
Representation (KR) and Knowledge Graphs (KGs) has emerged as
a critical field of study, addressing the growing need for AI
systems that are transparent, explainable, interpretable, and
trustworthy. Knowledge Representation offers methods for
describing, organizing, encoding, and reasoning with
domain-specific knowledge, providing a foundational layer for
AI understanding. Knowledge Graphs, as a seminal result of KR,
further enable the structuring of interconnected concepts and
relationships, forming an intuitive framework for describing
complex domains. KGs have been effectively used as a powerful
tool for improving results in solving different tasks in
multiple fields such as question answering, recommendation,
medical decision support systems, fact-checking, semantic
search, image classification and many others. Together, KR and
KGs provide a natural complement to XAI techniques, empowering
AI models to produce meaningful explanations that align with
real-world contexts and user expectations.<br>
As AI systems become increasingly embedded in critical domains
such as healthcare, finance, and law, the need for
interpretable models that offer insights into their reasoning
processes has never been more urgent. By combining XAI with KR
and KGs, researchers and practitioners can develop systems
that bridge the gap between technical outputs and human
comprehension. This integration not only enhances the clarity
and relevance of AI-generated explanations but also supports
the development of fairer, more accountable systems by
incorporating domain knowledge and logic into the reasoning
process.<br>
<br>
<br>
This workshop seeks to explore the rich opportunities and
challenges at the intersection of XAI, KR, and KGs. Key themes
include leveraging structured knowledge to enhance
explainability and interpretability, using XAI methods to
refine and validate KR and KG models, as well as to increase
trustworthiness of machine learning models and applying these
combined approaches to tackle real-world problems. We invite
contributions on theoretical advancements, innovative tools,
and case studies that demonstrate how knowledge-driven AI can
deliver explanations that are transparent, domain-aware, and
user-centric. By fostering collaboration among researchers,
industry practitioners, and domain experts, this workshop aims
to drive forward the development of ethical and impactful AI
systems that align with human values and societal needs.</p>
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<br>
</font>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">======</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">TOPICS</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">======</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">The main topics include but are
not limited to:</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"></p>
<ul>
<li style="margin-left:15px">Techniques and best practices for
building interpretable machine learning models intertwined
with Knowledge Representation (KR) and Knowledge Graphs
(KGs).</li>
<li style="margin-left:15px">Graph-based interpretability in
neural networks and deep learning models.</li>
<li style="margin-left:15px">Leveraging KR and KGs to infer
causality and improve explanations in AI.</li>
<li style="margin-left:15px">Enhancing reasoning capabilities
in AI through symbolic and sub-symbolic Knowledge
Representation (KR).</li>
<li style="margin-left:15px">Combining traditional KR methods
with modern XAI techniques for enhanced explainability.</li>
<li style="margin-left:15px">Using ontologies and taxonomies
to structure interpretable AI explanations.</li>
<li style="margin-left:15px">Theoretical frameworks for
explainability within KR and logic-based systems.</li>
<li style="margin-left:15px">Explainable reasoning methods in
rule-based and knowledge-based systems.</li>
<li style="margin-left:15px">Explainability in dynamic and
temporal Knowledge Graphs.</li>
<li style="margin-left:15px">Factual and Counterfactual
explanations for KGs.</li>
<li style="margin-left:15px">Scalable approaches for real-time
explainable reasoning using KR and KGs.</li>
<li style="margin-left:15px">Evaluation protocols, metrics,
and benchmarks for assessing the quality and clarity of KR-
and KG-based explanations.</li>
<li style="margin-left:15px">Cross-domain evaluation of XAI
methods in knowledge-driven AI systems.</li>
<li style="margin-left:15px">Interactive and adaptive
explanation frameworks using KGs.</li>
<li style="margin-left:15px">Personalization of explanations
through contextual KR and user feedback.</li>
<li style="margin-left:15px">Bias and fairness in explainable
Knowledge Graphs and KR.</li>
<li style="margin-left:15px">Identifying and mitigating
systemic biases in AI explanations through KR.</li>
<li style="margin-left:15px">Ensuring fairness in
knowledge-driven XAI applications.</li>
<li style="margin-left:15px">Hands-on tools and open-source
libraries for implementing XAI and KGs in real-world
settings.</li>
<li style="margin-left:15px">Novel methodologies for
integrating probabilistic KR with XAI.</li>
</ul>
<p></p>
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</font>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">============</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">SUBMISSIONS</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">============</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif"><br>
</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt">Submissions
must be written in English, prepared using the new CEUR-ART
1-column style<font face="arial, sans-serif"> <span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(which
you can download </span><a
href="http://ceur-ws.org/Vol-XXX/CEURART.zip"
target="_blank" style="text-decoration-line:none"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">here</span></a><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">,
also available as an Overleaf template </span><a
href="https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/hpvjjzhjxzjk"
target="_blank" style="text-decoration-line:none"><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">here</span></a><span
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">)</span></font>,
formatted in PDF, and submitted through EasyChair <span
style="font-family:arial,sans-serif">workshop page </span><a
href="https://easychair.org/conferences?conf=xaikrkgecai2025"
target="_blank" class="moz-txt-link-freetext">https://easychair.org/conferences?conf=xaikrkgecai2025</a>.
XAI+KRKG 2025 invites submissions of research, industry, and
application contributions. There are two submission formats:</p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br>
Regular papers (max 12 pages excluding references): must
contain enough substance that they can be cited in other
publications and may not have appeared before.<br>
<br>
Short papers (max 6 pages excluding references): results and
ideas of interest to the XAI-KRKG audience, including position
papers, system and application descriptions and presentations
of preliminary results, an overview of papers accepted at
another conference. In the latter case, extended abstracts
must clearly state the venue where the paper has been
accepted.<br>
<br>
All accepted papers are expected to be presented at the
conference and at least one author of each accepted paper must
travel to the ECAI venue in person. Submissions should be
single-blind so the names of the authors will be visible to
the reviewers and should be indicated on the submitted files.</p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br>
</p>
</div>
<div><font face="arial, sans-serif"><br>
</font>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">================</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">PROCEEDINGS AND POST-PROCEEDINGS</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">===============</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif"><br>
</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font
face="arial, sans-serif">Meeting the criteria, proceedings
of XAI-KRKG 2025 are planned to be published at CEUR
Workshop Proceedings. </font></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font
face="arial, sans-serif"><br>
</font></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">=============</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">ORGANIZATION</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span
style="font-size:11pt;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><font
face="arial, sans-serif">=============</font></span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font
face="arial, sans-serif"><br>
</font></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt">Roberto
Barile, University of Bari, Italy<br>
Claudia d'Amato, University of Bari, Italy<br>
Valeria Fionda - University of Calabria, Italy<br>
Flavio Giorgi - Sapienza University of Rome, Italy<br>
Antonio Ielo - University of Calabria, Italy<br>
Ilaria Tiddi - Vrije Universiteit Amsterdam, The Netherlands<br>
Gabriele Tolomei - Sapienza University of Rome, Italy<br>
</p>
</div>
</div>
<div><br>
<br>
</div>
<p><br>
</p>
<pre class="moz-signature" cols="100">--
Prof. Claudia d'Amato, PhD
Associate Professor
Dipartimento di Informatica - LACAM-ML Lab
Università degli Studi di Bari Aldo Moro (ITALY)
<a class="moz-txt-link-freetext" href="http://www.di.uniba.it/~cdamato/">http://www.di.uniba.it/~cdamato/</a></pre>
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