Pascal Hitzler | DeepAI

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Federico Bianchi
34 publications
Hoifung Poon
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Sebastian Rudolph
25 publications
Artur d'Avila Garcez
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Derek Doran
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Daniel Lowd
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Luis C. Lamb
15 publications
Markus Krötzsch
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Pedro Domingos
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Sebastian Bader
13 publications
Md Kamruzzaman Sarker
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∙ 08/18/2023

Conversational Ontology Alignment with ChatGPT

This study evaluates the applicability and efficiency of ChatGPT for ont...

0 Sanaz Saki Norouzi, et al. ∙

∙ 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...

0 Abhilekha Dalal, et al. ∙

∙ 07/31/2023

A Modular Ontology for MODS – Metadata Object Description Schema

The Metadata Object Description Schema (MODS) was developed to describe ...

0 Rushrukh Rayan, et al. ∙

∙ 05/03/2023

An Ontology Design Pattern for Role-Dependent Names

We present an ontology design pattern for modeling Names as part of Role...

0 Rushrukh Rayan, et al. ∙

∙ 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...

0 Abhilekha Dalal, et al. ∙

∙ 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...

0 Cara Widmer, et al. ∙

∙ 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...

0 Cogan Shimizu, et al. ∙

∙ 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 ...

17 Monireh Ebrahimi, et al. ∙

∙ 05/11/2021

Neuro-Symbolic Artificial Intelligence: Current Trends

Neuro-Symbolic Artificial Intelligence – the combination of symbolic met...

0 Md Kamruzzaman Sarker, et al. ∙

∙ 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...

0 Abhishek Jana, et al. ∙

∙ 12/11/2019

Completion Reasoning Emulation for the Description Logic EL+

We present a new approach to integrating deep learning with knowledge-ba...

0 Aaron Eberhart, et al. ∙

∙ 04/10/2019

MODL: A Modular Ontology Design Library

Pattern-based, modular ontologies have several beneficial properties tha...

0 Cogan Shimizu, et al. ∙

∙ 12/08/2018

Efficient Concept Induction for Description Logics

Concept Induction refers to the problem of creating complex Description ...

0 Md Kamruzzaman Sarker, et al. ∙

∙ 11/09/2018

Reasoning over RDF Knowledge Bases using Deep Learning

Semantic Web knowledge representation standards, and in particular RDF a...

1 Monireh Ebrahimi, et al. ∙

∙ 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...

0 Md Kamruzzaman Sarker, et al. ∙

∙ 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...

0 Md Kamruzzaman Sarker, et al. ∙

∙ 08/30/2018

Modeling OWL with Rules: The ROWL Protege Plugin

In our experience, some ontology users find it much easier to convey log...

0 Md Kamruzzaman Sarker, et al. ∙

∙ 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...

0 Pascal Hitzler, et al. ∙

∙ 04/19/2018

A Practical Acyclicity Notion for Query Answering over Horn-SRIQ Ontologies

Conjunctive query answering over expressive Horn Description Logic ontol...

0 David Carral, et al. ∙

∙ 11/21/2017

Relating Input Concepts to Convolutional Neural Network Decisions

Many current methods to interpret convolutional neural networks (CNNs) u...

0 Ning Xie, et al. ∙

∙ 11/10/2017

Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

The study and understanding of human behaviour is relevant to computer s...

0 Tarek R. Besold, et al. ∙

∙ 10/13/2017

On the Ontological Modeling of Trees

Trees -- i.e., the type of data structure known under this name -- are c...

0 David Carral, et al. ∙

∙ 10/11/2017

Explaining Trained Neural Networks with Semantic Web Technologies: First Steps

The ever increasing prevalence of publicly available structured data on ...

0 Md Kamruzzaman Sarker, et al. ∙

∙ 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...

0 Sebastian Rudolph, et al. ∙

∙ 11/10/2005

Dimensions of Neural-symbolic Integration - A Structured Survey

Research on integrated neural-symbolic systems has made significant prog...

0 Sebastian Bader, et al. ∙

∙ 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...

0 Sebastian Bader, et al. ∙

∙ 10/29/2002

A uniform approach to logic programming semantics

Part of the theory of logic programming and nonmonotonic reasoning conce...

0 Pascal Hitzler, et al. ∙

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