Combining Machine Learning and Knowledge Engineering in Practice
                (AAAI-MAKE 2020) - Volume I: Spring Symposium

                                         Andreas Martin and Knut Hinkelmann
     FHNW University of Applied Sciences and Arts Northwestern Switzerland, School of Business, Olten, Switzerland
                                    {andreas.martin, knut.hinkelmann}@fhnw.ch



                           Abstract                                 Volume I, which contains a comprehensive collection of dif-
  This Volume I contains the papers dedicated to the AAAI           ferent papers from industry and academia with a focus on
  2020 Spring Symposium on combining machine learning and           practical applications on the combination of machine learn-
  knowledge engineering in practice, which is postponed and         ing and knowledge engineering. The papers of Volume I, the
  part of the AAAI 2020 Fall Symposium.                             AAAI 2020 Spring Symposium, are presented together with
                                                                    the updated/revised papers of Volume II at the AAAI 2020
                           Preface                                  Fall Symposium.
The AAAI 2020 spring symposium on combining machine
learning and knowledge engineering in practice (AAAI-
MAKE 2020), which was planned to be held at Stanford
University, Palo Alto, California, USA, from March 23 to
25, 2020, has the aim of bringing together practitioners and
researchers from various companies, research centers, and
academia coming from machine learning and knowledge en-
gineering domains. Despite a voluminous submission phase,
and a rigorous and in-depth review by the program com-
mittee, the AAAI had to cancel the physical meeting of
the Spring Symposium, including this AAAI-MAKE 2020
symposium, due to the spread of Sars-CoV-2, the resulting
disease COVID-19. Therefore, AAAI-MAKE 2020 is post-
poned and part of the AAAI Fall Symposium in Arlington,
Virginia, adjacent to Washington, DC, on November 11-12,
2020.
   However, it was clear to the authors, participants, orga-
nizers, and chairs that, despite the deferring of the physical
meeting, everyone will continue to work on a joint AI that
is being explainable and grounded in domain knowledge. In
consultation with the authors, organizers, program commit-
tee, and chairs, the papers shall be published as Volume I,
despite the physical meeting had to be postponed. In Volume
II, authors have the opportunity to submit an updated/revised
version of their papers for the Fall Symposium, subject to
a rigorous and in-depth editorial review, as this joint AI re-
search should not and cannot just be suspended due to a pan-
demic situation.
   We are grateful to CEUR-WS.org for relaxing the require-
ment of a physical location and allowing us to publish this
Copyright c 2020 held by the author(s). In A. Martin, K. Hinkel-
mann, H.-G. Fill, A. Gerber, D. Lenat, R. Stolle, F. van Harmelen
(Eds.), Proceedings of the AAAI 2020 Spring Symposium on Com-
bining Machine Learning and Knowledge Engineering in Practice
(AAAI-MAKE 2020). Stanford University, Palo Alto, California,
USA, March 23-25, 2020. Use permitted under Creative Commons
License Attribution 4.0 International (CC BY 4.0).