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|