[DL] Call for Systems (Round 2) - ISWC 2019 Semantic Web Challenge on Tabular Data to Knowledge Graph Matching

Ernesto Jimenez-Ruiz ernesto.jimenez.ruiz at gmail.com
Wed Jul 17 19:11:20 CEST 2019

--Apologies for cross-posting--

This is a call for systems for the ISWC 2019 Semantic Web Challenge on
Tabular Data to Knowledge Graph Matching:

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.


There will be prizes sponsored by SIRIUS and IBM Research for the best
systems and the best student systems in the challenge.
The prize winners will be announced during the ISWC conference (on October
30, 2019).


Round 2 is now open.

System developers are encouraged to participate at any time, even if they
missed one of the evaluation rounds.

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:

We encourage participants to submit a system paper. The paper should be no
more than 8 pages long and formatted using the LNCS Style. These papers are
not peer-reviewed, but they will revised by 1-2 challenge organisers.

Support for ontology alignment and link discovery

Ontology alignment and link discovery systems are welcome to participate.
We plan to create input data in OWL/RDF format to facilitate their

Important dates

    April 15: Round 1 opens.
    July 10: Round 1 closes.
    July 17: Round 2 opens.
    August 31: Round 2 closes.
    September 2: Round 3 opens (tentative).
    September 7: System paper submissions (tentative).
    October 20: Round 3 closes (tentative).
    October 26: Ontology Matching workshop.
    October 30: Challenge Presentation and prize announcement.


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

Challenge committee members

    Udayan Khurana (IBM Research)
    Erik Bryhn Myklebust (University of Oslo)
    Vasilis Efthymiou (IBM Research)
    Monika Solanki (Agrimetrics)
    Ole Magnus Holter (University of Oslo)
    Pedro Szekely (University of Southern California)
    Basil Ell (University of Bielefeld; University of Oslo)
    Marco Cremaschi (University of Milano - Bicocca)
    Asan Agibetov (Medical University of Vienna)


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

Ernesto Jiménez-Ruiz
Senior Research Associate
(1) The Alan Turing Institute, London, UK
(2) SIRIUS Centre for Scalable Data Access, University of Oslo, Norway
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