| Vol-3433 urn:nbn:de:0074-3433-0 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# AAAI-MAKE 2023
Challenges Requiring the Combination of Machine Learning and Knowledge Engineering 2023

### Proceedings of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE 2023)

### Hyatt Regency, San Francisco Airport, California, USA, March 27-29, 2023.

Edited by

### Andreas Martin *
Hans-Georg Fill **
Aurona Gerber ***
Knut Hinkelmann *
Doug Lenat ****
Reinhard Stolle *****
Frank van Harmelen ******

* FHNW University of Applied Sciences and Arts Northwestern Switzerland, School of Business, Olten, Switzerland
** University of Fribourg, Department of Informatics, Fribourg, Switzerland
*** University of the Western Cape, Department of Computer Science, Cape Town, Western Cape, South Africa
**** Cycorp Inc., Austin, TX, USA
***** Argo AI GmbH, München, Germany
****** VU University, Department of Computer Science, Amsterdam, Netherlands

## Table of Contents

- Challenges Requiring the Combination of Machine Learning and Knowledge Engineering
  Andreas Martin
  Summary: The symposium included presentations of over 25 two-stage single-blind peer-reviewed papers (21 regular papers and 4 short papers), including two challenges for the research community to tackle in a follow-up event.

### Regular Papers

- A Systematic and Efficient Approach to the Design of Modular Hybrid AI Systems
  Thomas Schmid
- Embedded to Interpretive: A Paradigm Shift in Knowledge Discovery to Represent Dynamic Knowledge
  Asara Senaratne, Leelanga Seneviratne
- Hybrid Machine Learning/Knowledge Base Systems Learning through Natural Language Dialogue with Deep Learning Models
  Sergei Nirenburg, Nikhil Krishnaswamy, Marjorie McShane
- Robot Behavior-Tree-Based Task Generation with Large Language Models
  Yue Cao, C.S. George Lee
- Explainable Reinforcement Learning Based on Q-Value Decomposition by Expected State Transitions
  Yuta Tsuchiya, Yasuhide Mori, Masashi Egi
- AISecKG: Knowledge Graph Dataset for Cybersecurity Education
  Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Chitta Baral
- An Early Warning System that combines Machine Learning and a Rule-Based Approach for the Prediction of Cancer Patients' Unplanned Visits
  H. F. Witschel, E. Laurenzi, S. Jüngling, Y. Kadvany, A. Trojan
- An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP)
  Paulo Shakarian, Abhinav Koyyalamudi, Noel Ngu, Lakshmivihari Mareedu
- Dynamic Ontology Matching Challenge
  Maaike H.T. de Boer, Linda Oosterheert, Roos M. Bakker
- Ontology-Driven Enhancement of Process Mining With Domain Knowledge
  Simon Eichele, Knut Hinkelmann, Maja Spahic-Bogdanovic
- Towards Hybrid Dialog Management Strategies for a Health Coach Chatbot
  Charuta Pande, Andreas Martin, Christoph Pimmer
- Neuro-symbolic Rule Learning in Real-world Classification Tasks
  Kexin Gu Baugh, Nuri Cingillioglu, Alessandra Russo
- Rule-Based Knowledge Discovery via Anomaly Detection in Tabular Data
  Asara Senaratne, Peter Christen, Graham Williams, Pouya Ghiasnezhad Omran
- Leveraging RDF Graphs, Similarity Metrics and Network Analysis for Business Process Management
  Robert Andrei Buchmann, Maira Ussenbayeva, Wilfrid Utz, Dimitris Karagiannis
- A Hybrid Intelligent Approach Combining Machine Learning and a Knowledge Graph to Support Academic Journal Publishers Addressing the Reviewer Assignment Problem (RAP)
  Dietrich Rordorf, Josua Käser, Alfredo Crego, Emanuele Laurenzi
- Towards Hybrid Intelligent Support Systems for Emergency Call Handling
  Carsten Maletzki, Lisa Grumbach, Eric Rietzke, Ralph Bergmann
- PyReason: Software for Open World Temporal Logic
  Dyuman Aditya, Kaustuv Mukherji, Srikar Balasubramanian, Abhiraj Chaudhary, Paulo Shakarian
- The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
  Maria Lymperaiou, Giorgos Stamou
- Counterfactual Edits for Generative Evaluation
  Maria Lymperaiou, Giorgos Filandrianos, Konstantinos Thomas, Giorgos Stamou
- Knowledge-Based Counterfactual Queries for Visual Question Answering
  Theodoti Stoikou, Maria Lymperaiou, Giorgos Stamou
- Fine-Grained ImageNet Classification in the Wild
  Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou

### Short Papers

- Offline RL+CKG: A hybrid AI model for cybersecurity tasks
  Aritran Piplai, Anupam Joshi, Tim Finin
- Creating Dynamically Evolving Ontologies: A Use Case from the Labour Market Domain
  Maaike H.T. de Boer, Roos M. Bakker, Maaike Burghoorn
- Cognitive Neuro-Symbolic Reasoning Systems
  Alessandro Oltramari
- A Recognition Service for Haptic Modelling in Scene2Model
  Christian Muck, Wilfrid Utz

2023-06-20: submitted by Andreas Martin, metadata incl. bibliographic data published under Creative Commons CC0
2023-07-06: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|