AAAI-MAKE 2019
AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering

Table of Contents

• Preface
  Andreas Martin, Knut Hinkelmann, Aurona Gerber, Doug Lenat, Frank van Harmelen and Peter Clark
  

Papers

• Knowledge Engineering and Machine Learning for Design and Use in Cyber-Physical Environments
  Michael Walch
• Leverage White-Collar Workers with AI
  Stephan Jüngling , Angelin Hofer
• SEVA: A Systems Engineer’s Virtual Assistant
  Jitin Krishnan , Patrick Coronado , Trevor Reed
• Virtual Bartender: A Dialog System Combining Data-Driven and Knowledge-Based Recommendation
  Knut Hinkelmann , Monika Blaser , Oliver Faust , Alexander Horst , Carlo Mehli
• Building Knowledge Base through Deep Learning Relation Extraction and Wikidata
  Pero Subasic , Hongfeng Yin , Xiao Lin
• Collaborative Learning of Concept Representations for Video Data
  Francisco Torres , Hoda Eldardiry , Gaurang Gavai , Chad Ramos
• Representation and Retrieval of Images by Means of Spatial Relations Between Objects
  Danilo Nunes , Leonardo Anjoletto Ferreira , Paulo E. Santos , Adam Pease
• Modularity as a Means for Complexity Management in Neural Networks Learning
  David Castillo-Bolado , Cayetano Guerra-Artal , Mario Hernandez-Tejera
• Applying the Concept of Knowledge Blockchains to Ontologies
  Hans-Georg Fill
• Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks - A Survey
  Knut Hinkelmann , Sajjad Ahmed , Flavio Corradini
• Improving Topic Modeling for Textual Content with Knowledge Graph Embeddings
  Marco Brambilla , Birant Altinel
• The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text
  Michael Kaufmann
• DEXTER - Data EXTraction & Entity Recognition for Low Resource Datasets
  Nihal V. Nayak , Pratheek Mahishi , Sagar Rao
• CoKE : Word Sense Induction Using Contextualized Knowledge Embeddings
  Sanjana Ramprasad , James Maddox
• Learning Temporal Rules from Knowledge Graph Streams
  Pouya Ghiasnezhad Omran , Kewen Wang , Zhe Wang
• Duplicate Removal for Overlapping Clusters: A Study Using Social Media Data
  Amit Paul , Animesh Dutta
• Performance Measures Fusion for Experimental Comparison of Methods for Multi-label Classification
  Tome Eftimov , Dragi Kocev
• CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks
  Asma Nouira , Nataliya Sokolovska , Jean-Claude Crivello
• Tree-based Regularization for Interpretable Readmission Prediction
  Jialiang Jiang , Sharon Hewner , Varun Chandola
• Towards an Assistive and Pattern Learning-driven Process Modeling Approach
  Emanuele Laurenzi , Knut Hinkelmann , Stephan Jüngling , Devid Montecchiari , Charuta Pande , Andreas Martin
• DeepLogic: Towards End-to-End Differentiable Logical Reasoning
  Nuri Cingillioglu , Alessandra Russo
• On the Capabilities of Logic Tensor Networks for Deductive Reasoning
  Federico Bianchi , Pascal Hitzler
• KINN: Incorporating Expert Knowledge in Neural Networks
  Muhammad Ali Chattha , Shoaib Ahmed Siddiqui , Muhammad Imran Malik , Ludger Van Elst , Andreas Dengel , Sheraz Ahmed ,
• Learning and Engineering Similarity Functions for Business Recommenders and Clustering
  Hans Friedrich Witschel , Andreas Martin
• Leveraging Wikipedia for Ontology Pattern Population from Text
  Michelle Cheatham , James Lambert , Charles Vardeman II
• Metrics for Evaluating Quality of Embeddings for Ontological Concepts
  Faisal Alshargi , Saeedeh Shekarpour , Tommaso Soru , Amit Sheth
• Deconstructing the Final Frontier of Artificial Intelligence: Five Theses for a Constructivist Machine Learning (short paper)
  Thomas Schmid
• From Demonstrations and Knowledge Engineering to a DNN Agent in a Modern Open-World Video Game (short paper)
  Igor Borovikov , Ahmad Beirami

Poster & Extended Abstract

• PLOW: Probabilistic Logic Over the Well-Founded Semantics
  Benjamin Grosof , Theresa Swift
• Using Predicate Information from a Knowledge Graph to Identify Disease Trajectories
  Wytze Vlietstra , Rein Vos , Erik van Mulligen , Jan Kors
• A Proposal for Determining the Evidence Types of Biomedical Documents Using a Drug-drug Interaction Ontology and Machine Learning
  Linh Hoang , Richard D. Boyce , Mathias Brochhausen , Joseph Utecht , Jodi Schneider
• On Datasets for Evaluating Architectures for Learning to Reason
  Naveen Sundar Govindarajulu , Jean-Claude Paquin , Shreya Banerjee , Atriya Sen , Paul Mayol , Selmer Bringsjord