Pseudo-Random ALC Syntax Generation. - Aaron Eberhart; Michelle Cheatham; Pascal Hitzler (ESWC (Satellite Events), 2018)

A Method for Automatically Generating Schema Diagrams for OWL Ontologies. - Cogan Shimizu; Aaron Eberhart; Nazifa Karima; Quinn Hirt; Adila Krisnadhi; Pascal Hitzler (KGSWC, 2019)

Completion Reasoning Emulation for the Description Logic EL+. - Aaron Eberhart; Monireh Ebrahimi; Lu Zhou 005; Cogan Shimizu; Pascal Hitzler (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

A Domain Ontology for Task Instructions. - Aaron Eberhart; Cogan Shimizu; Christopher A. Stevens; Pascal Hitzler; Christopher W. Myers; Benji Maruyama (KGSWC, 2020)

A Functional API for OWL. - Aaron Eberhart; Pascal Hitzler (ISWC (Demos/Industry), 2020)

Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment. - Monireh Ebrahimi; Md. Kamruzzaman Sarker; Federico Bianchi 001; Ning Xie 009; Aaron Eberhart; Derek Doran; HyeongSik Kim 001; Pascal Hitzler (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Expressibility of OWL Axioms with Patterns. - Aaron Eberhart; Cogan Shimizu; Sulogna Chowdhury; Md. Kamruzzaman Sarker; Pascal Hitzler (ESWC, 2021)

Seed Patterns for Modeling Trees. - Aaron Eberhart; David Carral; Pascal Hitzler; Hilmar Lapp; Sebastian Rudolph (WOP (Book), 2021)

Towards a Modular Ontology for Space Weather Research. - Cogan Shimizu; Ryan M. McGranaghan; Aaron Eberhart; Adam C. Kellerman (WOP (Book), 2021)

Neuro-symbolic artificial intelligence. - Md. Kamruzzaman Sarker; Lu Zhou 005; Aaron Eberhart; Pascal Hitzler (AI Commun., 2021)

Towards bridging the neuro-symbolic gap: deep deductive reasoners. - Monireh Ebrahimi; Aaron Eberhart; Federico Bianchi 001; Pascal Hitzler (Appl. Intell., 2021)

Neuro-Symbolic Artificial Intelligence: Current Trends. - Md. Kamruzzaman Sarker; Lu Zhou 005; Aaron Eberhart; Pascal Hitzler (CoRR, 2021)

On the Capabilities of Pointer Networks for Deep Deductive Reasoning. - Monireh Ebrahimi; Aaron Eberhart; Pascal Hitzler (CoRR, 2021)

Neuro-Symbolic Semantic Reasoning. - Bassem Makni; Monireh Ebrahimi; Dagmar Gromann; Aaron Eberhart (Neuro-Symbolic Artificial Intelligence, 2021)

Memory Networks for RDFS reasoning: Experiments (short paper). - Sulogna Chowdhury; Monireh Ebrahimi; Aaron Eberhart; Pascal Hitzler (SemREC/SMART@ISWC, 2022)

Should I Stay or Should I Go - A New Reasoner for Description Logic. - Aaron Eberhart; Joseph Zalewski; Pascal Hitzler (KGSWC, 2023)

metaphactory for Massive Graphs. - Aaron Eberhart; Peter Haase 001; Wolfgang Schell (ICPE (Companion), 2023)

Modeling and Generating Extreme Volumes of Financial Synthetic Time-Series Data with Knowledge Graphs. - Laurentiu Vasiliu; S. Haleh S. Dizaji; Aaron Eberhart; Dumitru Roman; Radu Prodan (SEMANTiCS (Posters, Demos, Workshops & Tutorials), 2024)

Building Massive Knowledge Graphs using an Automated ETL Pipeline. - Aaron Eberhart; Wolfgang Schell; Peter Haase 001 (ICPE (Companion), 2024)