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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<title>KGC Workshop</title>
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<ul class="main-nav nav navbar-nav navbar-right">
<li><a href="#call">Call</a></li>
<li><a href="#challenge">Challenge</a></li>
<li><a href="#program">Program</a></li>
<li><a href="#important-dates">Important dates</a></li>
<li><a href="#organization">Organization</a></li>
<li><a href="#pc">Program Committee</a></li>
<li><a href="#previous">Previous Editions</a></li>
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<div class="home-content">
<h1>Fifth International Workshop on Knowledge Graph Construction</h1>
<h4 class="lead">Co-located with the ESWC 2024</h4>
<h4 class="lead">Hersonissos - 27th May 2024</h4>
<a href="#call" class="main-btn">See Call for Papers</a>
</div>
</div>
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</div>
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</div>
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</div>
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<!-- About -->
<div id="call" class="section">
<!-- container -->
<div class="container">
<!-- row -->
<div class="row">
<!-- section title -->
<div class="section-title">
<h2 class="title"><span>KGC</span> <span style="color: #dd0a37;"> Call for Papers</span></h2>
</div>
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<div class="col-md-10 col-md-offset-1 text-justify">
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<div class="about-content" style="font-size: 14pt">
<p>
More and more knowledge graphs (KGs) are constructed for private use, e.g., Google, or public use, e.g., DBpedia, Wikidata.
While many solutions were proposed to construct KGs from existing data on the Web, there is still no mature systems to automate the rules definition nor systematic evaluations to compare the performance and resource usage of the different systems independently of the mapping language they use or the way they construct the knowledge graph (materialization or virtualization).
Addressing the challenges related to KG construction requires both the investigation of theoretical concepts and the development of systems and methods for their evaluation. <br><br>
The Knowledge Graph Construction Workshop (KGCW) has a special focus this time on novel techniques, frameworks, architectures, and tools for the new extensions of RML such as RDF Collections and Containers, and RDF-Star support and the <a href="https://w3id.org/rml/portal">newest version of the RDF Mapping Language (RML)</a> in general. <br><br>
The workshop includes a keynote, as well as (research, in-use, experience, position, system) paper presentations, demo jam, and break-out discussions.
This year, we will celebrate the 2nd edition of the KG Construction Challenge, where an evaluation setup will be provided to the participants to compare the different systems for KG construction. <br><br>
Our goal is to provide a venue for scientific discourse, systematic analysis, and rigorous evaluation of languages, techniques, and systems, as well as practical and applied experiences and lessons learned for constructing knowledge graphs from academia and industry.
The workshop complements and aligns with the activities of the <a href="https://www.w3.org/community/kg-construct/">W3C Community Group on KG construction</a>.
</p>
</div>
</div>
</div>
<div class="row text-center">
<div class="section-title" style="margin-top: 30pt !important; margin-bottom: 10pt !important;">
<h4 class="title" ><span>Topics</span></h4>
</div>
<div>
<div class="col-md-10 col-md-offset-1">
<ul class="list-group">
<li class="list-group-item active">
Automation for Knowledge Graph Construction
</li>
<li class="list-group-item">Conversion of data labelling methods into declarative KGC approaches</li>
<li class="list-group-item">(Semi)automatically generate mappings</li>
<li class="list-group-item">Explainable automated knowledge graph generation</li>
<li class="list-group-item">LLMs supporting (declarative) knowledge graph generation</li>
</ul>
</div>
<div class="col-md-10 col-md-offset-1">
<ul class="list-group">
<li class="list-group-item active">
Mapping based Knowledge Graph Construction
</li>
<li class="list-group-item">Mapping languages for constructing Knowledge Graph from legacy datasets</li>
<li class="list-group-item">End User Interfaces (UI) for (collaborative) editing and viewing for Knowledge Graphs building rules and management platforms in general</li>
</ul>
</div>
<div class="col-md-10 col-md-offset-1">
<ul class="list-group">
<li class="list-group-item active">
Approaches and techniques on
</li>
<li class="list-group-item">collaborative mappings generation</li>
<li class="list-group-item">exploiting mappings for query answering</li>
</ul>
</div>
<div class="col-md-10 col-md-offset-1">
<ul class="list-group">
<li class="list-group-item active">
Tools for Knowledge Graph Construction
</li>
<li class="list-group-item">Architectures for Knowledge Graph construction systems</li>
<li class="list-group-item">(Sustainable) workflows for Web scale Knowledge Graph construction & publishing</li>
</ul>
</div>
<div class="col-md-10 col-md-offset-1">
<ul class="list-group">
<li class="list-group-item active">
Methods and Techniques for Knowledge Graph Construction
</li>
<li class="list-group-item">Seamless (distributed) integration/interlinking from heterogeneous data sources</li>
<li class="list-group-item">Dynamic discovery and retrieval of data for KG construction</li>
<li class="list-group-item">Quality, Provenance, privacy and trustworthiness of Linked Data construction</li>
<li class="list-group-item">Knowledge Graph construction and publishing of streaming data at run-time</li>
<li class="list-group-item">Benchmarks for Knowledge Graphs construction and publishing</li>
</ul>
</div>
<div class="col-md-10 col-md-offset-1">
<ul class="list-group">
<li class="list-group-item active">
Lessons learnt, In Use and Experience
</li>
<li class="list-group-item">Experience, lessons learnt and best practices for generating and publishing</li>
<li class="list-group-item">Negative results and in-use/applied descriptions</li>
</ul>
</div>
</div>
</div>
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<div class="row">
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<div class="section-title" style="margin-top: 30pt !important; margin-bottom: 40pt !important;">
<h4 class="title" ><span>Authors Guideline</span></h4>
</div>
<div class="col-md-4 col-md-offset-2">
<h3 class="title"><span style="color: #dd0a37;">Format</span></h3>
<p style="font-size: 14pt">
Authors can choose the best way to express their work, such as HTML or PDF. However, a <a href ="https://ceurws.wordpress.com/2020/03/31/ceurws-publishes-ceurart-paper-style/">CEUR layout</a> must be provided. If your contribution will be in HTML, you can find some available tools in the <a href="https://2024.eswc-conferences.org/html-submission-guide/">ESWC24 HTML guideline.</a>
</p>
</div>
<div class="col-md-4 col-md-offset-1">
<h3 class="title"><span style="color: #dd0a37;">Contributions</span></h3>
<ul style="font-size: 14pt">
<li>Full research papers (12-15 pages)</li>
<li>In Use and Experience papers (12-15 pages)</li>
<li>Short research papers (5-8 pages)</li>
<li>Challenge papers (6-8 pages)</li>
<li>Position and Vision papers (4-6 pages)</li>
<li>System/demo papers (4-6 pages)</li>
<li>Abstract from journal papers (2-4 pages)</li>
</ul>
</div>
</div>
<div class="row" style="margin-top: 40pt;">
<div class="col-md-8 col-md-offset-2">
<h3 class="title"><span style="color: #dd0a37;">Review and Publication</span></h3>
<p style="font-size: 14pt">
Please, share your contribution before the deadline through the <a href="https://openreview.net/group?id=eswc-conferences.org/ESWC/2024/Workshop/KGCW">OpenReview platform</a>. The accepted contributions will be published in the proceedings of the workshop through CEUR-WS. Each accepted paper needs to be presented by one of the authors at the workshop (virtual presentations are not allowed).
</p>
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<div id="challenge" class="section">
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<div class="section-bg" style="background-color:rgb(247, 247, 247);" data-stellar-background-ratio="0.5"></div>
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<!-- container -->
<div class="container">
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<div class="row">
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<div class="section-title">
<h2 class="title" style="margin-bottom: 30pt;"><span>Challenge</span></h2>
</div>
<div class="col-md-10 col-md-offset-1 text-justify">
<!-- about content -->
<div class="about-content" style="font-size: 14pt">
<p>
Knowledge graph construction of heterogeneous data has seen a lot
of uptake in the last decade from compliance to performance optimizations
with respect to execution time. Besides execution time as metric for
comparing knowledge graph construction, other metrics e.g. CPU or memory
usage are not considered. This challenge aims at benchmarking systems to
find which RDF graph construction system optimizes for metrics e.g.
execution time, CPU, memory usage, or a combination of these metrics.
</p>
<p>
<div class="about-content" style="font-size: 14pt">
<!--<p class="text-center">All details regarding the challenge will be ready soon,
please <b>confirm your interest to participate</b> in the challenge
by filling out <a href="https://docs.google.com/forms/d/1nc1Fr8m-uoIRtyaV9pFvM_bD7tGd-QIXE8D5BFpFBy0">this form</a>
before January 31th 2024 AoE. Participating without filling out this form
is not possible because we need to arrange hardware for participants.-->
<p class="text-center">All details regarding the challenge can be found <a href="https://w3id.org/kg-construct/workshop/2024/challenge.html">here</a>
<br><br></p>
Workflow for submissions of the Challenge:
<ol>
<li><b>Interest for participation</b> by January 31th 2024 AoE.</li>
<li><b>Results submission</b> by April 30th 2024 AoE (participants received submissions details via e-mail).</li>
<li><b>OPTIONAL (Proceedings):</b></li>
<ul>
<li><b>Submit report paper</b> by May 21th 2024.</li>
<li>Report paper will be <b>reviewed by PC/OC</b>.</li>
<li><b>If paper is accepted, it</b> will be published within the proceedings of KGCW.</li>
<li> <b>Camera ready</b> submission by June 22th 2024.</li>
</ul>
</ol>
<p class="text-center">At least one author of each tool needs to present the results during the workshop <br>(virtual presentations are not allowed)</p>
</p>
</div>
</p>
</div>
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<h2 class="title" style="margin-bottom: 30pt;"><span>Program</span></h2>
</div>
<div class="event">
<div class="event-content" style="text-align: left;">
<h4>Session 1 (09:00 - 10:30)</h4>
<p><i>Each paper has 15 minutes for presentation + 5 minutes of Q/A</i></p>
<ul>
<li>Welcome to the 5th Edition of the KGC Workshop.</li>
<li>Not Everybody Speaks RDF: Knowledge Conversion between Different Data Representations. <i> Mario Scrocca, Alessio Carenini, Marco Grassi, Marco Comerio, Irene Celino.</i> <a href="https://w3id.org/kg-construct/workshop/2024/resources/paper3.pdf">Paper</a> / <a href="https://w3id.org/kg-construct/workshop/2024/resources/presentation3.pdf">Slides</a> </li>
<li>BURPing Through RML Test Cases. <i>Dylan Van Assche, Christophe Debruyne.</i> <a href="https://w3id.org/kg-construct/workshop/2024/resources/paper5.pdf">Paper</a> / <a href="https://w3id.org/kg-construct/workshop/2024/resources/presentation5.pdf">Slides</a> </li>
<li>Propagating Ontology Changes to Declarative Mappings in Construction of Knowledge Graphs. <i>Diego Conde Herreros, David Chaves-Fraga, María Poveda-Villalón, Romana Pernisch, Lise Stork, Oscar Corcho.</i> <a href="https://w3id.org/kg-construct/workshop/2024/resources/paper1.pdf"> Paper</a> / <a href="https://w3id.org/kg-construct/workshop/2024/resources/presentation1.pdf">Slides</a> </li>
<li>RML-view-to-CSV: A Proof-of-Concept Implementation for RML Logical Views. <i>Els de Vleeschauwer, Pano Maria, Ben De Meester, Pieter Colpaert.</i> <a href="https://w3id.org/kg-construct/workshop/2024/resources/paper2.pdf">Paper</a> / <a href="https://w3id.org/kg-construct/workshop/2024/resources/presentation2.pdf">Slides</a> </li>
<li>Wrap up</li>
</ul>
<p class="schedule-break">10:30 - 11:00: Coffee Break</p>
<br>
<h4>Session 2 (11:00 - 12:30)</h4>
<ul>
<li>Intro to the keynote speaker</li>
<li>Keynote: Anomaly Detection For Telco Companies: Challenges And Opportunities In Knowledge Graph Construction by <i>Lionel Tailhardat</i>. <a href="https://w3id.org/kg-construct/workshop/2024/resources/keynote.pdf">Slides</a> </li>
<li>W3C Knowledge Graph Construction - Yearly Update <a href="https://w3id.org/kg-construct/workshop/2024/resources/presentationW3C.pdf">Slides</a></li>
<li>Wrap up</li>
</ul>
<p class="schedule-break">12:30 - 14:00: Lunch Break</p>
<br>
<h4>Session 3 (14:00 - 15:30)</h4>
<p><i>Each paper has 15 minutes for presentation + 5 minutes of Q/A</i></p>
<ul>
<li>R2[RML]-ChatGPT Framework. <i>Alex Randles, Declan O'Sullivan.</i> <a href="https://w3id.org/kg-construct/workshop/2024/resources/paper6.pdf">Paper</a> / <a href="https://w3id.org/kg-construct/workshop/2024/resources/presentation6.pdf">Slides</a></li>
<li>Towards self-configuring Knowledge Graph Construction Pipelines using LLMs - A Case Study with RML. <i>Marvin Hofer, Johannes Frey, Erhard Rahm.</i> <a href="https://w3id.org/kg-construct/workshop/2024/resources/paper8.pdf">Paper</a> / <a href="https://w3id.org/kg-construct/workshop/2024/resources/presentation8.pdf">Slides</a> </li>
</ul>
<p><i>Each solution has 10 minutes for presentation</i></p>
<ul>
<li>Challenge & benchmark explanation </li>
<li>Challenge Track 1</li>
<ul>
<li>BURP. <i>Christophe Debruyne and Dylan Van Assche</i></li>
<li>RMLMapper. <i>Dylan Van Assche, Els de Vleeschauwer and Ben de Meester</i></li>
<li>SDM-RDFizer. <i>Enrique Iglesias</i></li>
</ul>
<li>Wrap up</li>
</ul>
<p class="schedule-break">15:30 - 16:00: Coffee Break</p>
<br>
<h4>Session 4 (16:00 - 18:00)</h4>
<p><i>Each solution has 10 minutes for presentation</i></p>
<ul>
<li>Challenge Track 2 and both</li>
<ul>
<li>RML-to-CSV-View + RMLStreamer. <i>Els de Vleeschauwer</i></li>
<li>RMLWeaver-js. <i>Sitt Min Oo</i></li>
<li>FlexRML. <i>Michael Freund</i></li>
<li>RPT/Sansa. <i>Claus Stadler and Simon Bin</i></li>
<li>mapping-template. <i>Mario Scrocca and Marco Grassi</i></li>
</ul>
<li>Feedback and Awards</li>
<li>Discussion & closing remarks</li>
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<h2 class="title" style="font-size: 35px!important"><span > Keynote</span></h2>
<h2 class="title" style="font-size: 32px!important"><span>Anomaly detection for telco companies: Challenges and opportunities in knowledge graph construction</span> <span style="color: #dd0a37;"> Lionel Tailhardat </span></h2>
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<p>
The keynote will first cover current expectations in anomaly detection and incident management in the context of telco companies. We will discuss the relevance of knowledge graphs in addressing these needs and the challenges of scaling knowledge graph construction. Then, we will explore the intersection between knowledge graphs and anomaly detection, as well as the role of cooperative decision making in incident situation understanding in this domain.
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<p>Lionel is a research engineer working in the Innovation division at Orange Group. He has held various positions in production/maintenance, system supervision architecture, and network operations, which led him to develop an interest in the relationship between the dynamics of distributed systems and the means to anticipate or resolve dependability issues. Currently, he is involved in a research project that combines knowledge graphs and AI techniques to detect anomalies in large-scale networks and create a shared knowledge base of faults and remediation actions.</p>
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<span class="day">29</span>
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KU Leuven
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Assistant Professor,
CiTIUS - USC
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<h2>Umutcan Serles</h2>
<span>
Postdoctoral Researcher,
STI Innsbruck
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<h2>Dylan Van Assche</h2>
<span>
PhD Student,
imec - IDLab (UGent)
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<h2>Ana Iglesias Molina</h2>
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PhD Student,
OEG - UPM
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<li class="list-group-item">Femke Ongenae, Ghent University – imec</li>
<li class="list-group-item">Franck Michel, CNRS</li>
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<li class="list-group-item">Giorgos Flouris, FORTH</li>
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<h3 class="title"><span>Previous</span> <span style="color: #dd0a37;">Editions</span></h3>
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<table class="table table-striped">
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<th> Year </th>
<th> Location </th>
<th> Proceedings </th>
<th> Website </th>
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<td> 2019 </td>
<td> <a href="http://2019.eswc-conferences.org/">ESWC</a> - Portorož (Slovenia) </td>
<td> <a href="http://ceur-ws.org/Vol-2489/">http://ceur-ws.org/Vol-2489</a></td>
<td> <a href="https://w3id.org/kg-construct/workshop/2019/">https://w3id.org/kg-construct/workshop/2019</a> </td>
</tr>
<tr class="d-flex">
<td> 2021 </td>
<td> <a href="http://2021.eswc-conferences.org/">ESWC</a> - Online </td>
<td> <a href="http://ceur-ws.org/Vol-2873/">http://ceur-ws.org/Vol-2873</a></td>
<td> <a href="https://w3id.org/kg-construct/workshop/2021/">https://w3id.org/kg-construct/workshop/2021</a> </td>
</tr>
<tr class="d-flex">
<td> 2022 </td>
<td> <a href="https://2022.eswc-conferences.org/">ESWC</a> - Hersonissos (Greece) </td>
<td> <a href="https://ceur-ws.org/Vol-3141/">https://ceur-ws.org/Vol-3141</a></td>
<td> <a href="https://w3id.org/kg-construct/workshop/2022">https://w3id.org/kg-construct/workshop/2022</a> </td>
</tr>
<tr class="d-flex">
<td> 2023 </td>
<td> <a href="https://2023.eswc-conferences.org/">ESWC</a> - Hersonissos (Greece) </td>
<td> <a href="https://ceur-ws.org/Vol-3471/">https://ceur-ws.org/Vol-3471</a></td>
<td> <a href="https://w3id.org/kg-construct/workshop/2023">https://w3id.org/kg-construct/workshop/2023</a> </td>
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