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<h3>NMR Online Seminar</h3>
<p><br>
<font face="monospace"><font size="4">-- Summary:
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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">https://uct-za.zoom.us/j/92600685092?pwd=ErqWWWKrljbjxLi0CNsgEZr4WR7ZHN.1</a><br>
<br>
<a class="moz-txt-link-freetext"
href="https://nmrseminar.krportal.org/">https://nmrseminar.krportal.org/</a><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>
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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/">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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