Third International Workshop on Knowledge Graph Construction

Co-located with the ESWC 2022

Crete - 30th May 2022

See Call for Papers

KGC Call for Papers

More and more knowledge graphs are constructed for private use, e.g., Siri, Alexa, or public use, e.g., DBpedia, Wikidata. While techniques to automatically construct KGs from existing Web objects exist (e.g., semantic labeling of Web tables), there is still room for improvement. Initially, constructing KGs from existing datasets was considered an engineering task with some ad-hoc approaches, however, scientific methods with more declarative-oriented techniques have recently emerged. In particular, several mapping languages for describing rules to construct knowledge graphs and processors to execute those rules emerged. Addressing the challenges related to KG construction requires both the investigation of theoretical concepts and the development of tools and methods for their evaluation

KGCW22 has a special focus this time on the automatization of knowledge graph construction methods, analyzing their alignment with previous standard but declarative approaches (i.e., mapping rules).

The workshop includes a keynote, (research, in-use, experience, position, tools) paper presentations, and break-out discussions.

Our goal is to provide a venue for scientific discourse, systematic analysis and rigorous evaluation of languages, techniques and tools, 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 W3C CG on KG construction.

Topics

  • Adjusting semantic data labelling methods into declarative KG construction approaches
  • Conversion of data labelling methods into declarative KGC approaches
  • (Semi)automatically generate mappings
  • Explainable automated knowledge graph generation
  • Mapping based Knowledge Graph Construction
  • Mapping languages for constructing Knowledge Graph from legacy datasets
  • End User Interfaces (UI) for (collaborative) editing and viewing for Knowledge Graphs building rules and management platforms in general
  • Approaches and techniques on
  • collaborative mappings generation
  • exploiting mappings for query answering
  • Tools for Knowledge Graph Construction
  • Architectures for Knowledge Graph construction systems
  • (Sustainable) workflows for Web scale Knowledge Graph construction & publishing
  • Methods and Techniques for Knowledge Graph Construction
  • Seamless (distributed) integration/interlinking from heterogeneous data sources
  • Dynamic discovery and retrieval of data for KG construction
  • Quality, Provenance, privacy and trustworthiness of Linked Data construction
  • Knowledge Graph construction and publishing of streaming data at run-time
  • Benchmarks for Knowledge Graphs construction and publishing
  • Lessons learnt, In Use and Experience
  • Experience, lessons learnt and best practices for generating and publishing
  • Negative results and in-use/applied descriptions

Authors Guideline

Format

Authors can choose the best way to express their work, such as HTML or PDF. However, a LNCS-like layout should be provided or a CEUR layout (which will be mandatory for the camera ready). If your contribution will be in HTML, you can find some available tools in the ESWC22 HTML guideline.

Contributions

  • Full research papers (12-15 pages)
  • In Use and Experience papers (12-15 pages)
  • Short research papers (5-8 pages)
  • Position and Vision papers (4-6 pages)
  • System/demo papers (4-6 pages)
  • Abstract from journal papers (2-4 pages)

Review and Publication

Please, share your contribution before the deadline through the OpenReview platform. 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.

Program

The workshop and tutorial are supported by the W3C community group on Knowledge Graph Construction and the DKG Cost Action.

First Day (29th May): KGC Tutorial

We invite practicioners and users on knowledge graph construction to also attend to the KGC Tutorial on 29th of May.

All the details are available at this website.

Second Day (30th May): KGC Workshop (EEST TIMES)

Session 1 (09:00 - 10:30): Knowledge Graph Construction at a Glance

  • Welcome to the 3rd Edition of the KGC Workshop.
  • Implementation-independent Knowledge Graph Construction Workflows using FnO Composition. Gertjan De Mulder and Ben De Meester
  • Devising Mapping Interoperability with Mapping Translation. Ana Iglesias-Molina, Andrea Cimmino and Oscar Corcho
  • A Human-in-the-Loop Approach for Personal Knowledge Graph Construction from File Names. Markus Schröder, Christian Jilek and Andreas Dengel
  • Wrap up

10:30 - 11:00: Coffee Break

Session 2 (11:00 - 12:30): Keynote and SemTab 2022

  • Intro to the keynote speaker
  • Keynote: Javier D. Fernández and Selena Baset from Roche.
  • Kick-off SemTab Challenge 2022. Vasilis Efthymiou and Nora Abdelmageed
  • Wrap up

12:30 - 14:10: Lunch Break

Session 3 (14:10 - 15:30): New trends in KGC

  • Introduction to the session
  • Supporting Relational Database Joins for Generating Literals in R2RML. Christophe Debruyne
  • Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks. Archit Parnami and Minwoo Lee
  • Declarative Description of Knowledge Graphs Construction Automation: Status & Challenges. Anastasia Dimou and David Chaves-Fraga
  • Wrap up

15:30 - 16:00: Coffee Break

Session 4 (16:00 - 17:00): W3C Knowledge Graph Construction

  • Continuous generation of versioned collection's members with RML and LDES. Dylan Van Assche, Sitt Min Oo, Julian Rojas and Pieter Colpaert
  • Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources. Enrique Iglesias, Samaneh Jozashoori and Maria-Esther Vidal
  • Status Update and Discussions on next steps with the W3C CG & wrap up. David Chaves-Fraga, Anastasia Dimou
  • Wrap up of the session & closing words

Session 5 (20:30): Greek Workshop dinner!

Keynote: From ETL to DIY, or how to
democratize the creation of KG

Javier D. Fernández and Selena Baset (Roche)

Abstract: The biopharmaceutical industry is embracing knowledge graphs for different purposes, from data integration (e.g. between clinical and biomarker data) for exploration and advanced analytics leading to novel medical insights, to general data representation achieving FAIR data and guiding process automatization. In this scenario of global adoption within complex, multinational companies, scalable techniques are needed to construct, maintain and govern such knowledge graphs, not only by a handful of semantic experts, but also for casual users with domain knowledge. In this presentation, we will show different approaches, challenges, projects, practical tools and solutions that we currently use and explore in Roche.

Important dates

12 March, 2022

Submission papers

Submit your paper

11 April, 2022

Notifications

The notification and reviews from our Program Committee will be available.

29 April, 2022

Submission camera ready

Time to have your paper ready for being published. All the accepted paper will be published in the proceedings.

30 May, 2022

Event

Keynote, papers presentations, and a lot of discussion. Remember! If your contribution is accepted, it needs to be presented by one of the authors at the event.

Organizers

Anastasia Dimou

Assistant Professor, KU Leuven

David Chaves Fraga

Senior Researcher, KU Leuven & UPM

Freddy Priyatna

Knowledge Graph Engineer, Olive AI

Juan Sequeda

Principal Scientist, data.world

Pieter Heyvaert

Senior Researcher, imec - IDLab (UGent)

Program Committee

  • Aidan Hogan, Universidad de Chile
  • Ana Iglesias-Molina, Universidad Politécnica de Madrid
  • Antoine Zimmermann, École des Mines de Saint-Étienne
  • Ben De Meester, Ghent University – imec
  • Boris Villazón-Terrazas, Tinámica
  • Christophe Debruyne, Liège University
  • Dylan Van Assche, Ghent University – imec
  • Edna Ruckhaus, Universidad Politécnica de Madrid
  • Elvira Amador, Universidad Politécnica de Madrid
  • Ernesto Jiménez-Ruiz, University of London
  • Femke Ongenae, Ghent University – imec
  • Franck Michel, Université Côte d'Azur
  • François Scharffe, Columbia University
  • Giorgos Flouris, FORTH
  • Giuseppe Futia, Nexa Center
  • Hannes Voigt, Neo4j
  • Heiko Paulheim, University of Mannheim
  • Herminio Garcia Gonzalez, Kazerne Dossin
  • Jakub Klímek, Charles University
  • Julián Arenas-Guerrero, Universidad Politécnica de Madrid
  • Jhon Toledo, Universidad Politécnica de Madrid
  • Manolis Koubarakis, National & Kapodistrian University of Athens
  • Maria-Esther Vidal, L3S & TIB
  • Mario Scrocca, CEFRIEL
  • Mauro Dragoni, FBKZ
  • Maxime Lefrancois, École des Mines de Saint-Étienne
  • Miel Vander Sande, Memoo
  • Mohamed Nadjib Mami, Deutsche Post DHL Group
  • Nora Abdelmageed, Friedrich-Schiller-University Jena
  • Oscar Corcho, Universidad Politécnica de Madrid
  • Pano Maria, Skemu
  • Samaneh Jozashoori, L3S & TIB
  • Semih Salihoglu, University of Waterloo
  • Sergio José Rodríguez Méndez, Australian National University
  • Souripriya Das, Oracle
  • Sven Lieber, Royal Library of Belgium (KBR)
  • Umutcan Şimşek, University of Innsbruck
  • Vladimir Alexiev, Ontotext

Sponsors

COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.

https://www.cost.eu/