Second International Workshop on Knowledge Graph Construction

Co-located with the ESWC 2021

Online or Hersonissos, Greece - 6 June 2021

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., scraping 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.

KGC has a special focus this time on knowledge graph construction methods that involve or analyze the roles of users in these processes.

The workshop includes a keynote and a panel, as well as (research, in-use, experience, position, tools) paper presentations, demo jam 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

  • 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
  • (semi)automatically generate mappings
  • 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. If your contribution will be in HTML, you can find some available tools in the ESWC21 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. Each accepted paper needs to be presented by one of the authors at the workshop.

Program

Important dates

10 March, 2021

Submission papers

Submit your paper

31 March, 2021

Notifications

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

9 April, 2021

Submission camera ready

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

6 June, 2021

Event

Keynote, papers presentations, demo jam 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

Senior Researcher, imec - IDLab (UGent)

David Chaves Fraga

PhD Student, OEG - 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
  • Craig Knoblock, University of Southern California
  • Francesco Osbonne, The Open University
  • Franck Michel, Université Côte d'Azur
  • François Scharffe, Columbia University
  • George Fletcher, TU Eindhoven
  • Guohui Xiao, Ontopic
  • Hajira Jabeen, Bonn University
  • Hannes Voigt, Neo4j
  • Herminio Garcia Gonzalez, Universidad de Oviedo
  • Josh Shinavier, Uber
  • Manolis Koubarakis, National & Kapodistrian University of Athens
  • Maria-Esther Vidal, L3S & TIB
  • Mariano Rodríguez-Muro, Google
  • Mauro Dragoni, FBKZ
  • Maxime Lefrancois, École des Mines de Saint-Étienne
  • Oscar Corcho, Universidad Politécnica de Madrid
  • Pano Maria, Skemu
  • Samaneh Jozashoori, L3S & TIB
  • Semih Salihoglu, University of Waterloo
  • Umutcan Şimşek, University of Innsbruck
  • Victor Lee, Tigergraph
  • Vladimir Alexiev, Ontotext