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<p>***CoKA: --- 2nd Call for Contributions***</p>
<p>================================================================<br>
Conceptual Knowledge Acquisition: Challenges, Opportunities, and
Use Cases<br>
<br>
Workshop at the 1st International Joint Conference on <br>
Conceptual Knowledge Structures (CONCEPTS 2024)<br>
<br>
September 9–13 2024, Cádiz, Spain<br>
<br>
Workshop Website: <a class="moz-txt-link-freetext"
href="https://www.kde.cs.uni-kassel.de/coka/"
moz-do-not-send="true">https://www.kde.cs.uni-kassel.de/coka/</a>
<br>
Conference website: <a class="moz-txt-link-freetext"
href="https://concepts2024.uca.es" moz-do-not-send="true">https://concepts2024.uca.es</a><br>
================================================================<br>
<br>
Formal concept analysis (FCA) can help make sense of data and the
underlying domain --- provided the data is not too big, not too
noisy, representative of the domain, and if there is data in the
first place. What if you don’t have such data readily available
but are prepared to invest in collecting it and have access to
domain experts or other reliable queryable sources of information?
Conceptual exploration comes to the rescue!</p>
<p>Conceptual exploration is a family of knowledge-acquisition
techniques within FCA. The goal is to build a complete
implicational theory of a domain (with respect to a fixed
language) by posing queries to a domain expert. When properly
implemented, it is a great tool that can help organize the process
of scientific discovery.</p>
<p>Unfortunately, proper implementations are scarce and success
stories of using conceptual exploration are somewhat rare and
limited in scope. With this workshop, we intend to analyze the
situation and, maybe, find a solution. If</p>
<p>- you succeeded in acquiring new knowledge about or building a
satisfying conceptual representation of some domain with
conceptual exploration before;<br>
- you attempted conceptual exploration in application to your
problem but failed miserably;<br>
- you want to use conceptual exploration to analyze some domain,
but you don’t know where and how to start;<br>
- you are aware of alternatives to conceptual exploration;<br>
<br>
then come to the workshop to share your experiences, insights,
ideas, and concerns with us!<br>
<br>
==================<br>
Keywords and Topics<br>
==================<br>
Knowledge Acquisition and Capture<br>
Conceptual Exploration<br>
Design Patterns and Paradigmatic Examples<br>
successful use cases and real-world applications<br>
challenges and lessons learned<br>
application principles<br>
missing theoretical foundations<br>
missing technical infrastructure<br>
integration with other theories and technologies<br>
</p>
<p>=========================<br>
Duration, Format, and Dates<br>
=========================<br>
</p>
<p>We invite contributions in the form of an extended abstract of up
to two pages. In addition, supplementary material, such as data
sets, detailed descriptions, or visualizations, may be submitted.<br>
</p>
<p>The workshop is planned for half a day within the conference
dates and at the same venue. It will consist of several short
presentations each followed by a plenary discussion.<br>
<br>
Please send your contributions until *July 10, 2024* to <a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:tom.hanika@uni-hildesheim.de"
moz-do-not-send="true">tom.hanika@uni-hildesheim.de</a>. If you
are not sure whether your contribution matches the topics or the
format of the workshop, you are welcome to contact the organizers
prior to submitting the abstract. An acceptance notification will
be sent within two weeks upon receiving the submission.<br>
<br>
===================<br>
Workshop Organizers<br>
===================<br>
<br>
- Tom Hanika, University of Hildesheim<br>
- Sergei Obiedkov, TU Dresden<br>
- Bernhard Ganter, Ernst-Schröder-Zentrum, Darmstadt<br>
</p>
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<pre class="moz-signature" cols="80">--
Dr. Tom Hanika
Universität Kassel Tel.: +49 (0) 561 804 6252
<a class="moz-txt-link-freetext"
href="https://www.kde.cs.uni-kassel.de/hanika"
moz-do-not-send="true">https://www.kde.cs.uni-kassel.de/hanika</a>
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