AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE)
March 25–27, 2019 · Stanford University, Palo Alto, California, USA
Program of AAAI-MAKE 2019. Some concluding remarks overlap with paper sessions in the published schedule.
Program at a glance
Monday, March 25
09:00–09:30 · Symposium Opening
Andreas Martin and Knut Hinkelmann (FHNW)
09:30–10:15 · Keynote
Doug Lenat (Cycorp): It’s Statistical Learning and Knowledge Engineering All the Way Down
10:30–11:00 · Coffee break
11:00–12:30 · Position Paper Session · Chair: Aurona Gerber
- 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 — Igor Borovikov and Ahmad Beirami
- Leverage White-Collar Workers with AI — Stephan Jüngling and Angelin Hofer
12:30–14:00 · Lunch
14:00–15:30 · Full Paper Session · Chair: Doug Lenat
- 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 — 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
15:30–16:00 · Coffee break
16:00–17:30 · Position and Full Paper Session · Chair: Knut Hinkelmann
- 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 — 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
17:10–17:30 · Day 1 Concluding
Frank van Harmelen, Vrije Universiteit Amsterdam (overlaps the preceding session)
18:00–19:00 · Reception
Tuesday, March 26
09:00–09:40 · Keynote
Frank van Harmelen, Vrije Universiteit Amsterdam
09:40–10:30 · Position and Full Paper Session · Chair: Andreas Martin
- 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, and Flavio Corradini
10:30–11:00 · Coffee break
11:00–12:30 · Position and Full Paper Session · Chair: Doug Lenat
- 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 — 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
12:30–14:00 · Lunch
14:00–15:20 · Poster and Demonstration Session · Chair: Knut Hinkelmann
- 14:00–14:20 · PLOW: Probabilistic Logic Over the Well-Founded Semantics (poster and demonstration) — Benjamin Grosof and Theresa Swift
- 14:20–14:35 · Using Predicate Information from a Knowledge Graph to Identify Disease Trajectories (poster) — Wytze Vlietstra, Rein Vos, Erik van Mulligen, and Jan Kors
- 14:35–14:50 · A proposal for determining the evidence types of biomedical documents using a drug-drug interaction ontology and machine learning (poster) — Linh Hoang, Richard D. Boyce, Mathias Brochhausen, Joseph Utecht, and Jodi Schneider
- 14:50–15:05 · On Datasets for Evaluating Architectures for Learning to Reason (poster) — Naveen Sundar Govindarajulu, Jean-Claude Paquin, Shreya Banerjee, Atriya Sen, Paul Mayol, and Selmer Bringsjord
- 15:05–15:20 · Learning Temporal Rules from Knowledge Graph Streams (poster and full paper) — Pouya Ghiasnezhad Omran, Kewen Wang, and Zhe Wang
15:30–16:00 · Coffee break
16:00–17:40 · Full Paper Session · Chair: Frank van Harmelen
- Duplicate Removal for Overlapping Clusters: A Study Using Social Media Data — 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
17:20–17:40 · Day 2 Concluding
Knut Hinkelmann (FHNW; overlaps the preceding session in the schedule)
18:00–19:00 · AAAI Plenary Session
Aurona Gerber, University of Pretoria, reporting in the plenary session
Wednesday, March 27
09:00–10:30 · Position and Full Paper Session · Chair: Frank van Harmelen
- Towards an Assistive and Pattern Learning-driven Process Modeling Approach — 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 — Muhammad Ali Chattha, Shoaib Ahmed Siddiqui, Muhammad Imran Malik, Ludger Van Elst, Andreas Dengel, and Sheraz Ahmed
10:30–11:00 · Coffee break
11:00–12:30 · Position and Full Paper Session · Chair: Aurona Gerber
- Learning and Engineering Similarity Functions for Business Recommenders and Clustering — Hans Friedrich Witschel and Andreas Martin
- Leveraging Wikipedia for Ontology Pattern Population from Text — 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
12:00–12:30 · Day 3 and Symposium Concluding
Knut Hinkelmann and Andreas Martin (FHNW; overlaps the preceding session in the schedule)
Papers and presentations
The program lists the presented papers, posters, and demonstrations. Presentation slides were available for selected contributions.
AAAI-MAKE 2019 was part of the AAAI Spring Symposium Series. Contact: mail@aaai-make.info.
Published papers and persistent proceedings
The published papers, poster abstracts, and editors’ preface are available in CEUR Workshop Proceedings – Volume 2350 (AAAI-MAKE 2019).
Bibliographic record: DBLP – AAAI Spring Symposium 2019.
Author Information
The author guidelines required consistency of paper titles, author names, and affiliations with EasyChair, and camera-ready uploads through the submission system. Authors were responsible for granting the non-exclusive publication permission required by CEUR-WS.