| Vol-2600 urn:nbn:de:0074-2600-2 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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 2020
Combining Machine Learning and Knowledge Engineering in Practice - Volume I: Spring Symposium

### Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I

### Stanford University, Palo Alto, California, USA, March 23-25, 2020.

Edited by

### Andreas Martin *
Knut Hinkelmann *
Hans-Georg Fill **
Aurona Gerber ***
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 Pretoria, Department of Informatics, Pretoria, South Africa
**** Cycorp Inc., Austin, TX, USA
***** Autonomous Intelligent Driving GmbH, München, Germany
****** VU University, Department of Computer Science, Amsterdam, Netherlands

## Table of Contents

- Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE 2020) - Volume I: Spring Symposium
  Andreas Martin, Knut Hinkelmann

### Regular Papers

- Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response
  Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, Mike Rogers
- Towards AI-based Solutions in the System Development Lifecycle
  Stephan Jüngling, Martin Peraic, Andreas Martin
- An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
  Ruwan Wickramarachchi, Cory Henson, Amit Sheth
- Using Pre-trained Transformer Deep Learning Models to Identify Named Entities and Syntactic Relations for Clinical Protocol Analysis
  Miao Chen, Fang Du, Ganhui Lan, Victor Lobanov
- Completion Reasoning Emulation for the Description Logic EL+
  Aaron Eberhart, Monireh Ebrahimi, Lu Zhou, Cogan Shimizu, Pascal Hitzler
- ARO: A Memory-Based Approach to Environments with Perceptual Aliasing
  Ryan Regier, Owen Price, Alex Hadi, Zachary Faltersack, Andrew Nuxoll
- A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
  Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos, Antonis Argyros, Nick Bassiliades, Dimitris Plexousakis
- GiCoMAF: An Artificial Intelligence Algorithm to Utilize Maps for Operators of Unmanned Aerial Vehicles
  Yuval Zak, Yisrael Parmet, Tal Oron-Gilad
- Supporting Trust in Hybrid Intelligence Systems Using Blockchains
  Hans-Georg Fill, Felix Härer
- Common-Knowledge Concept Recognition for SEVA
  Jitin Krishnan, Patrick Coronado, Hemant Purohit, Huzefa Rangwala
- Using Learning Algorithms to Create, Exploit and Maintain Knowledge Bases: Principles of Constructivist Machine Learning
  Thomas Schmid
- Using Concepts to Understand Intelligent Agents
  Ole Meyer, Marc Hesenius, Volker Gruhn
- Cognitive Twin: A Cognitive Approach to Personalized Assistants
  Sterling Somers, Alessandro Oltramari, Christian Lebiere
- Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning
  Ugur Kursuncu, Manas Gaur, Amit Sheth
- Multi-PCA Driven Approach for Fault Detection and Root Cause Analysis of Process Equipment
  Jinendra K Gugaliya, Rahul Kumar Vij, Srini Ramaswamy, Lakshwin Shreesha M K
- Frequency-Based vs. Knowledge-Based Similarity Measures for Categorical Data
  Summaya Mumtaz, Martin Giese
- Case-Based System of User Interface Reverse Engineering
  Pavel Myznikov
- Novel Approach to Music Genre Classification using Clustering Augmented Learning Method (CALM)
  Soumya Suvra Ghosal, Indranil Sarkar
- Threshold Optimization in Multiple Binary Classifiers for Extreme Rare Events using Predicted Positive Data
  Edgar Robles, Fatima Zaidouni, Aliki Mavromoustaki, Payam Refael
- Mitigating Bias in Deep Nets with Knowledge Bases: the Case of Natural Language Understanding for Robots
  Martino Mensio, Emanuele Bastianelli, Ilaria Tiddi, Giuseppe Rizzo
- Supervised Visualization of Vocabulary Knowledge towards Explainable Support of Second Language Learners
  Yo Ehara

### Short Papers

- PODNet: A Neural Network for Discovery of Plannable Options (short paper)
  Ritwik Bera, Vinicius G. Goecks, Gregory M. Gremillion, John Valasek, Nicholas R. Waytowich
- Vec2Struc: A Method Towards Explainable Structural-Based Node Embeddings (short paper)
  Srishti Tomar, Ryan Compton
- Combining Symbolic and Sub-symbolic AI in the Context of Education and Learning (short paper)
  Rainer Telesko, Stephan Jüngling, Phillip Gachnang
- Attribution-based Salience Method towards Interpretable Reinforcement Learning (short paper)
  Yuyao Wang, Masayoshi Mase, Masashi Egi
- Hitachi Materials Informatics Analytics Platform Assisting Rapid Development (short paper)
  Yoshihiro Osakabe, Akinori Asahara, Hidekazu Morita
- EM-algorithm Enpowers Material Science: Application of Inverse Estimation for Small Angle Scattering (short paper)
  Akinori Asahara, Hidekazu Morita, Kanta Ono, Masao Yano, Tetsuya Shoji, Kotaro Saito, Chiharu Mitsumata
- A Study in Practical Solutions to Sarcasm Detection with Machine Learning and Knowledge Engineering Techniques (short paper)
  Chia Zheng Lin, Michal Ptaszynski, Masui Fumito, Gniewosz Leliwa, Michal Wroczynski
- Legal Artificial Intelligence - Have You Lost a Piece from Jigsaw Puzzle? (short paper)
  Changlong Sun, Yating Zhang, Qiong Zhang, Xiaozhong Liu
- Tutor4RL: Guiding Reinforcement Learning with External Knowledge (short paper)
  Mauricio Fadel Argerich, Jonathan Fürst, Bin Cheng

2020-05-05: submitted by Andreas Martin, metadata incl. bibliographic data published under Creative Commons CC0
2020-05-05: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|