Monday, March 25

Keynote & Opening Session

Symposium Opening • Andreas Martin (Slides) and Knut Hinkelmann (Slides), FHNW

Keynote: It’s Statistical Learning and Knowledge Engineering All the Way Down • Doug Lenat, CEO of Cycorp, Inc. and AAAI Fellow

Coffee Break

Position Paper Session

Deconstructing the Final Frontier of Artificial Intelligence: Five Theses for a Constructivist Machine Learning • Thomas Schmid

Knowledge engineering and machine learning for design and use in cyber-physical environments • Michael Walch

From Demonstrations and Knowledge Engineering to a DNN Agent in a Modern Open-World Video Game • (Slides) Igor Borovikov and Ahmad Beirami

Leverage White-Collar Workers with AI • (Slides) Stephan Jüngling and Angelin Hofer

Lunch

Full Paper Session

SEVA: A Systems Engineer’s Virtual Assistant • Jitin Krishnan, Patrick Coronado and Trevor Reed

Virtual Bartender: A Dialog System Combining Data-Driven and Knowledge-Based Recommendation • (Slides) Knut Hinkelmann, Monika Blaser, Oliver Faust, Alexander Horst and Carlo Mehli

Building Knowledge Base through Deep Learning Relation Extraction and Wikidata • Pero Subasic, Hongfeng Yin and Xiao Lin

Coffee Break

Position & Full Paper Session

Collaborative Learning of Concept Representations for Video Data • Francisco Torres, Hoda Eldardiry, Gaurang Gavai and Chad Ramos

Representation and Retrieval of Images by Means of Spatial Relations Between Objects • (Slides) Danilo Nunes, Leonardo Anjoletto Ferreira, Paulo E. Santos and Adam Pease

Modularity as a Means for Complexity Management in Neural Networks Learning • David Castillo-Bolado, Cayetano Guerra-Artal and Mario Hernandez-Tejera

Day 1 Concluding • Frank van Harmelen, VU University

Reception

Tuesday, March 26

Keynote Session

Keynote • (Slides) Frank van Harmelen, VU University

Position & Full Paper Session

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 • (Slides) Knut Hinkelmann, Sajjad Ahmed and Flavio Corradini

Coffee Break

Position & Full Paper Session

Improving Topic Modeling for Textual Content with Knowledge Graph Embeddings • Marco Brambilla and Birant Altinel

The Lokahi Prototype: Toward the automatic Extraction of Entity Relationship Models from Text • (Slides) Michael Kaufmann

DEXTER - Data EXTraction & Entity Recognition for Low Resource Datasets • Nihal V. Nayak, Pratheek Mahishi and Sagar Rao

CoKE : Word sense induction using contextualized knowledge embeddings • Sanjana Ramprasad and James Maddox

Lunch

Poster & Demonstration Session

PLOW: Probabilistic Logic Over the Well-Founded Semantics • (Slides) Benjamin Grosof and Theresa Swift

Using Predicate Information from a Knowledge Graph to Identify Disease Trajectories • (Slides) Wytze Vlietstra, Rein Vos, Erik van Mulligen and 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 and Jodi Schneider

On Datasets for Evaluating Architectures for Learning to Reason • Naveen Sundar Govindarajulu, Jean-Claude Paquin, Shreya Banerjee, Atriya Sen, Paul Mayol and Selmer Bringsjord

Learning Temporal Rules from Knowledge Graph Streams • Pouya Ghiasnezhad Omran, Kewen Wang and Zhe Wang

Coffee Break

Full Paper Session

Duplicate Removal for Overlapping Clusters: A Study Using Social Media Data • (Slides) Amit Paul and Animesh Dutta

Performance measures fusion for experimental comparison of methods for multi-label classification • Tome Eftimov and Dragi Kocev

CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks • Asma Nouira, Nataliya Sokolovska and Jean-Claude Crivello

Tree-based Regularization for Interpretable Readmission Prediction • Jialiang Jiang, Sharon Hewner and Varun Chandola

Day 2 Concluding • Knut Hinkelmann, FHNW

Plenary Session • (Slides) Aurona Gerber, University of Pretoria, reporting in plenary session

Wednesday, March 27

Position & Full Paper Session

Towards an Assistive and Pattern Learning-driven Process Modeling Approach • (Slides) Emanuele Laurenzi, Knut Hinkelmann, Stephan Jüngling, Devid Montecchiari, Charuta Pande and Andreas Martin

DeepLogic: Towards End-to-End Differentiable Logical Reasoning • Nuri Cingillioglu and Alessandra Russo

On the Capabilities of Logic Tensor Networks for Deductive Reasoning • Federico Bianchi and Pascal Hitzler

KINN: Incorporating Expert Knowledge in Neural Networks • (Slides)Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger Van Elst, Andreas Dengel and Sheraz Ahmed

Coffee Break

Position & Full Paper Session

Learning and Engineering Similarity Functions for Business Recommenders and Clustering • (Slides) Hans Friedrich Witschel and Andreas Martin

Leveraging Wikipedia for Ontology Pattern Population from Text • (Slides) Michelle Cheatham, James Lambert and Charles Vardeman II

Metrics for Evaluating Quality of Embeddings for Ontological Concepts • Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru and Amit Sheth

Day 3 and Symposium Concluding • Knut Hinkelmann and Andreas Martin, FHNW