1st Call for Systems - ISWC 2020 Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab)

--Apologies for cross-posting--

This is the 1st call for systems for the SemTab 2020 Semantic Web Challenge
on Tabular Data to Knowledge Graph Matching collocated with the
International Semantic Web Conference:

Tabular data to Knowledge Graph (KG) matching is the process of assigning
semantic tags from Knowledge Graphs (e.g., Wikidata or DBpedia) to the
elements of the table. This task however is often difficult in practice due
to metadata (e.g., table and column names) being missing, incomplete or

This challenge aims at benchmarking systems dealing with the tabular data
to KG matching problem, so as to facilitate their comparison on the same
basis and the reproducibility of the results.

Challenge Tasks
The challenge includes the following tasks organised into several
evaluation rounds:

    - Assigning a semantic type (e.g., a KG class) to a column: CTA task.
    - Matching a cell to a KG entity: CEA task.
    - Assigning a KG property to the relationship between two columns: CPA

The challenge will be run with the support of the AICrowd platform.

Discussion group
We have a discussion group for the challenge where we share the latest news
with the participants and we discuss issues risen during the evaluation

Tentative Dates
    March 23: Round 1 opens.
    April 30: Round 1 closes.
    May 8: Round 2 opens.
    July 7: Round 2 closes.
    July 8: Best participants in Rounds 1 and 2 are invited to present
their results during the ISWC conference and the Ontology Matching
workshop. Check the ISWC student travel grants.
    July 15: Round 3 opens.
    August 31: Round 3 closes.
    September 15: Round 4 opens.
    October 15: Round 4 closes.
    October 20: System paper submissions (preliminary version).
    November 2-3: Ontology Matching workshop.
    November 4-6: Challenge Presentation and prize announcement.
    November 15: System paper submissions (final version).

This track is organised by Kavitha Srinivas (IBM Research), Ernesto
Jimenez-Ruiz (City, University of Lonson; University of Oslo), Oktie
Hassanzadeh (IBM Research), Jiaoyan Chen (University of Oxford) and Vasilis
Efthymiou (IBM Research). If you have any problems working with the
datasets or any suggestions related to this challenge, do not hesitate to
contact us via the discussion group.

The challenge is currently supported by the SIRIUS Centre for
Research-driven Innovation and IBM Research.

Ernesto Jiménez-Ruiz
Lecturer in Artificial Intelligence

Department of Computer Science
School of Mathematics, Computer Science and Engineering
City, University of London
T: +44 (0)20 7040 0212

Received on Wednesday, 11 March 2020 14:36:38 UTC