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

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