%0 Conference Proceedings %B Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice %D 2020 %T Completion Reasoning Emulation for the Description Logic EL+ %A Aaron Eberhart %A Monireh Ebrahimi %A Lu Zhou %A Cogan Shimizu %A Pascal Hitzler %K Deep Learning %K Description Logic %K EL+ %K LSTM %K NeSy %K Reasoning %X

We present a new approach to integrating deep learning with knowledge-based systems that we believe shows promise. Our approach seeks to emulate reasoning structure, which can be inspected part-way through, rather than simply learning reasoner answers, which is typical in many of the black-box systems currently in use. We demonstrate that this idea is feasible by training a long short-term memory (LSTM) artificial neural network to learn EL+ reasoning patterns with two different data sets. We also show that this trained system is resistant to noise by corrupting a percentage of the test data and comparing the reasoner's and LSTM's predictions on corrupt data with correct answers.

%B Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice %I CEUR-WS.org %C Stanford University, Palo Alto, California, USA %V 2600 %8 03/2020 %G eng %U http://ceur-ws.org/Vol-2600/paper5.pdf %0 Conference Paper %B 1st Iberoamerican Knowledge Graph and Semantic Web Conference (KGSWC) %D 2019 %T A Method for Automatically Generating Schema Diagrams for OWL Ontologies %A Cogan Shimizu %A Aaron Eberhart %A Nazifa Karima %A Quinn Hirt %A Adila Krisnadhi %A Pascal Hitzler %K design patterns %K evaluation %K implementation %K ontology %K schema diagrams %K visualization %X

Interest in Semantic Web technologies, including knowledge graphs and ontologies, is increasing rapidly in industry and academics. In order to support ontology engineers and domain experts, it is necessary to provide them with robust tools that facilitate the ontology engineering process. Often, the schema diagram of an ontology is the most important tool for quickly conveying the overall purpose of an ontology. In this paper, we present a method for programmatically generating a schema diagram from an OWL file. We evaluate its ability to generate schema diagrams similar to manually drawn schema diagrams and show that it outperforms VOWL and OWLGrEd. In addition, we provide a prototype implementation of this tool.

%B 1st Iberoamerican Knowledge Graph and Semantic Web Conference (KGSWC) %I Springer %C Villa Clara, Cuba %8 06/2019 %G eng %& 149-161