Knowledge Graph Building Workshop (co-located with ESWC2019)

Knowledge Graph Building Workshop

(#KGB2019) in conjunction with ESWC2019 [https://2019.eswc-conferences.org]

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Workshop website: http://kgb-workshop.org

Workshop date: 03 June 2019

Submission deadline: 11th of March, 2019

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KGB is a full-day workshop on Knowledge Graph generation with a special
focus on Mapping Languages. It is co-located with the Extended Semantic Web
Conference 2019 (ESWC2019) <https://2019.eswc-conferences.org/>. The main
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-learnt for generating
knowledge graphs from academia and industry.

Topics of interest

-------------------------

   -

   Mapping based Knowledge Graph Generation
   -

      Mapping languages for generating Knowledge Graph from legacy datasets
      -

      Approaches and techniques on (semi)automatically generate mappings
      -

      Approaches and techniques on collaborative mappings generation
      -

      Approaches and techniques on exploiting mappings for query answering
      -

   Tools for Knowledge Graph Generation
   -

      End User Interfaces (UI) for (collaborative) editing and viewing
      for Knowledge Graphs building rules and management platforms in
      general
      -

      Architectures for Knowledge Graph generation systems
      -

   Methods and Techniques for Knowledge Graph Generation
   -

      (Sustainable) workflows for Web scale Knowledge Graph generation &
      publishing
      -

      Seamless (distributed) integration/interlinking from heterogeneous
      data sources
      -

      Dynamic discovery and retrieval of data for KG generation
      -

      Quality, Provenance, privacy and trustworthiness of Linked Data
      generation
      -

      Knowledge Graph generation and publishing of streaming data at
      run-time
      -

      Benchmarks for Knowledge Graphs generation 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


Benchmarks

------------------

The increasing number of methods and tool for Knowledge Graph construction
mandate consensus for evaluation of these methods and tools. We aim to
forge this consensus by assessing strengths and weaknesses of tools,
increasing the communication among algorithm developers, and improve
evaluation techniques and work on Knowledge Graph construction in general.
We aim to achieve this by launching an evaluation campaign that includes
the publication of test cases and results of different tools’ evaluation.

We encourage researchers/developers to submit their results after (one of
the following):

   -

   applying the R2RML test cases to their tools that generate knowledge
   graphs from data in relational databases;
   -

   applying the RML test cases that we ported from R2RML test cases to
   their tools that generate knowledge graphs from data in heterogeneous
   formats;
   -

   porting the test cases to other languages and applying them to their
   tools that generate knowledge graphs;
   -

   applying the RODI benchmark to their tools that (semi-)automatically
   generates RDB2RDF mappings.

From the results, researchers/developers are expected to submit a system
paper (6-8 pages using the LNCS style) in the proceedings of the Knowledge
Graph Building workshop.

To ensure easy comparability, we suggest that the papers follow this
outline:

   -

   tools presentation (description, status, algorithms, links to the
   system);
   -

   test cases results (comments for the performed test cases and results);
   -

   discussion and conclusions
   -

      tool: strengths and weaknesses, possible improvements,
      -

      test cases: comments on the test cases, new test cases proposal.


Submission guidelines

---------------------------------

Share your contribution before the deadline through the OpenReview
<https://openreview.net/group?id=eswc-conferences.org/ESWC/2019/Workshop/KGB>
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.

Contributions

--------------------

   -

   Full research papers (8-12 pages)
   -

   In Use and Experience papers (8-12 pages)
   -

   Position papers (6-8 pages)
   -

   Short research papers (4-6 pages)
   -

   System/demo papers (4-6 pages)


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 ESWC19 HTML guideline.
<https://2019.eswc-conferences.org/html-submission-guide/>

Important dates

-----------------------

Paper Submission: Monday, 11th of March, 2019

Acceptance Notification: Friday, 29th March, 2019

Camera-ready Version: Friday, 12th April, 2019

Workshop: 03 June 2019

Keynote

------------

The keynote speaker is Mariano Rodríguez-Muro
<https://sites.google.com/site/marianomuro/>, Ontologist in the Knowledge
Graph Schema team (Google)

Organising Committee

--------------------------------

David Chaves Fraga, OEG-UPM

Anastasia Dimou, imec - Ghent University

Freddy Priyatna, OEG-UPM

Juan Sequeda, Capsenta

Pieter Heyvaert, imec - Ghent University