research
∙
08/18/2023
Conversational Ontology Alignment with ChatGPT
This study evaluates the applicability and efficiency of ChatGPT for ont...
share
research
∙
08/08/2023
Understanding CNN Hidden Neuron Activations Using Structured Background Knowledge and Deductive Reasoning
A major challenge in Explainable AI is in correctly interpreting activat...
research
∙
07/31/2023
A Modular Ontology for MODS – Metadata Object Description Schema
The Metadata Object Description Schema (MODS) was developed to describe ...
research
∙
05/03/2023
An Ontology Design Pattern for Role-Dependent Names
We present an ontology design pattern for modeling Names as part of Role...
research
∙
01/23/2023
Explaining Deep Learning Hidden Neuron Activations using Concept Induction
One of the current key challenges in Explainable AI is in correctly inte...
research
∙
09/27/2022
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge
Concept induction, which is based on formal logical reasoning over descr...
research
∙
05/27/2022
Ontology Design Facilitating Wikibase Integration – and a Worked Example for Historical Data
Wikibase – which is the software underlying Wikidata – is a powerful pla...
research
∙
06/17/2021
On the Capabilities of Pointer Networks for Deep Deductive Reasoning
The importance of building neural networks that can learn to reason has ...
research
∙
05/11/2021
Neuro-Symbolic Artificial Intelligence: Current Trends
Neuro-Symbolic Artificial Intelligence – the combination of symbolic met...
research
∙
03/18/2020
Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
Powered by new advances in sensor development and artificial intelligenc...
research
∙
12/11/2019
Completion Reasoning Emulation for the Description Logic EL+
We present a new approach to integrating deep learning with knowledge-ba...
research
∙
04/10/2019
MODL: A Modular Ontology Design Library
Pattern-based, modular ontologies have several beneficial properties tha...
research
∙
12/08/2018
Efficient Concept Induction for Description Logics
Concept Induction refers to the problem of creating complex Description ...
research
∙
11/09/2018
Reasoning over RDF Knowledge Bases using Deep Learning
Semantic Web knowledge representation standards, and in particular RDF a...
research
∙
08/30/2018
Rule-based OWL Modeling with ROWLTab Protege Plugin
It has been argued that it is much easier to convey logical statements u...
research
∙
08/30/2018
OWLAx: A Protege Plugin to Support Ontology Axiomatization through Diagramming
Once the conceptual overview, in terms of a somewhat informal class diag...
research
∙
08/30/2018
Modeling OWL with Rules: The ROWL Protege Plugin
In our experience, some ontology users find it much easier to convey log...
research
∙
08/25/2018
A Tutorial on Modular Ontology Modeling with Ontology Design Patterns: The Cooking Recipes Ontology
We provide a detailed example for modular ontology modeling based on ont...
research
∙
04/19/2018
A Practical Acyclicity Notion for Query Answering over Horn-SRIQ Ontologies
Conjunctive query answering over expressive Horn Description Logic ontol...
research
∙
11/21/2017
Relating Input Concepts to Convolutional Neural Network Decisions
Many current methods to interpret convolutional neural networks (CNNs) u...
research
∙
11/10/2017
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
The study and understanding of human behaviour is relevant to computer s...
research
∙
10/13/2017
On the Ontological Modeling of Trees
Trees -- i.e., the type of data structure known under this name -- are c...
research
∙
10/11/2017
Explaining Trained Neural Networks with Semantic Web Technologies: First Steps
The ever increasing prevalence of publicly available structured data on ...
research
∙
02/04/2012
Type-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalog
We propose a novel, type-elimination-based method for reasoning in the d...
research
∙
11/10/2005
Dimensions of Neural-symbolic Integration - A Structured Survey
Research on integrated neural-symbolic systems has made significant prog...
research
∙
08/31/2004
The Integration of Connectionism and First-Order Knowledge Representation and Reasoning as a Challenge for Artificial Intelligence
Intelligent systems based on first-order logic on the one hand, and on a...
research
∙
10/29/2002