Automated and Explainable Ontology Extension Based on Deep Learning: A Case Study in the Chemical Domain

19 September 2021

Papers citing "Automated and Explainable Ontology Extension Based on Deep Learning: A Case Study in the Chemical Domain"

4 / 4 papers shown

Title
Using Artificial Neural Networks to Determine Ontologies Most Relevant to Scientific Texts Lukáš Korel Alexander S. Behr N. Kockmann M. Holeňa 6 0 0 17 Sep 2023
Ontology Development is Consensus Creation, Not (Merely) Representation Fabian Neuhaus Janna Hastings 13 15 0 21 Oct 2022
When one Logic is Not Enough: Integrating First-order Annotations in OWL Ontologies Simon Flügel Martin Glauer Fabian Neuhaus Janna Hastings 15 7 0 07 Oct 2022
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 239 31,257 0 16 Jan 2013