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<p>Hi everyone,</p>
<p>this is a brief reminder for the talk by <b>Vanina Martinez</b>
in our next NMR Online Seminar on <b>this Wednesday</b>. </p>
<p>See you there!</p>
<p>Kind regards,<br>
Jonas</p>
<div class="moz-cite-prefix">Am 02.10.25 um 14:17 schrieb Jonas
Haldimann:<br>
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<h3>NMR Online Seminar</h3>
<p><br>
<font face="monospace"><font size="4">-- Summary:
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<br>
What? Next talk in the NMR online talk series by
Vanina Martinez<br>
When? Wednesday, 22. October 2025, 16:00 CEST
(UCT+2)<br>
Where? Online (Zoom):
<a class="moz-txt-link-freetext"
href="https://uct-za.zoom.us/j/92600685092?pwd=ErqWWWKrljbjxLi0CNsgEZr4WR7ZHN.1"
moz-do-not-send="true">https://uct-za.zoom.us/j/92600685092?pwd=ErqWWWKrljbjxLi0CNsgEZr4WR7ZHN.1</a><br>
<br>
<a class="moz-txt-link-freetext"
href="https://nmrseminar.krportal.org/"
moz-do-not-send="true">https://nmrseminar.krportal.org/</a><br>
------------------------------------------------------------------------------</font><br>
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We are happy to announce that the NMR online talk series
restarts after the summer break with a talk given by<br>
<b>Vanina Martinez</b> (<span><span>IIIA-CSIC</span></span>,
Spain)<br>
on <b>Wednesday, 22. October 2025</b>, 16:00 CEST:</p>
<p><span><span style="font-weight: bold;">Making Sense of
Messy Graphs: Addressing Uncertainty in Data-Graphs<br>
</span></span><font size="2">Graph databases are
becoming widely successful as data models that allow for
effective representation and processing of complex
relationships among various types of data. Data graphs
are a particular type of graph database whose
representation enables both data to values in the paths
and in the nodes to be treated as first-class citizens
by the query language. As with any other type of data
repository, data graphs may suffer from errors and
discrepancies with respect to the real-world data they
intend to represent.<br>
In this talk, I will present part of the work we have
been doing exploring the notion of probabilistic unclean
data-graphs, to capture the idea that the observed
(unclean) data-graph is actually the noisy version of a
clean one that correctly models the world, but that we
know only partially. As the factors that lead to such a
state of affairs may be many, e.g., all different types
of clerical errors or unintended transformations of the
data, and depend heavily on the application domain, we
assume an epistemic probabilistic model that describes
the distribution over all possible ways in which the
clean (uncertain) data-graph could have been polluted.
Based on this model, we define two computational
problems: data cleaning and probabilistic query
answering, and study their computational complexity and
limitations. </font><br>
</p>
<div class="fs-6 collapse show"
id="divAbstractMartinezOctober2025"> </div>
<p>The talk will be given via Zoom.</p>
<p>The plan of this series to have a talk roughly once per
month. If you are interested in learning the next
speakers, please visit the website at<br>
<a class="moz-txt-link-freetext"
href="https://nmrseminar.krportal.org/"
moz-do-not-send="true">https://nmrseminar.krportal.org/</a></p>
<p>We are still looking for speakers for future talks. If
there is something you would like to present in this
seminar series, please do not hesitate to contact us.</p>
Kind regards,<br>
Jonas and Giovanni<br>
<br>
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