no code implementations • 21 Apr 2024 • Abhilekha Dalal, Rushrukh Rayan, Adrita Barua, Eugene Y. Vasserman, Md Kamruzzaman Sarker, Pascal Hitzler
A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would help answer the question of what a deep learning system internally detects as relevant in the input, demystifying the otherwise black-box nature of deep learning systems.
no code implementations • 18 Apr 2024 • Adrita Barua, Cara Widmer, Pascal Hitzler
To evaluate the output, we compare the concepts generated by the LLM with two other methods: concepts generated by humans and the ECII heuristic concept induction system.
Common Sense Reasoning Explainable artificial intelligence +5
no code implementations • 16 Apr 2024 • Reihaneh Amini, Sanaz Saki Norouzi, Pascal Hitzler, Reza Amini
Ontology alignment, a critical process in the Semantic Web for detecting relationships between different ontologies, has traditionally focused on identifying so-called "simple" 1-to-1 relationships through class labels and properties comparison.
no code implementations • 28 Feb 2024 • Andrew Eells, Brandon Dave, Pascal Hitzler, Cogan Shimizu
The previously introduced Modular Ontology Modeling methodology (MOMo) attempts to mimic the human analogical process by using modular patterns to assemble more complex concepts.
no code implementations • 1 Feb 2024 • Adrita Barua, Gary Brase, Ke Dong, Pascal Hitzler, Eugene Vasserman
We subject GPT-4 to a number of rigorous psychometric tests and analyze the results.
no code implementations • 18 Aug 2023 • Sanaz Saki Norouzi, Mohammad Saeid Mahdavinejad, Pascal Hitzler
This study evaluates the applicability and efficiency of ChatGPT for ontology alignment using a naive approach.
1 code implementation • 8 Aug 2023 • Abhilekha Dalal, Md Kamruzzaman Sarker, Adrita Barua, Eugene Vasserman, Pascal Hitzler
A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would provide insights into the question of what a deep learning system has internally detected as relevant on the input, demystifying the otherwise black-box character of deep learning systems.
no code implementations • 31 Jul 2023 • Rushrukh Rayan, Cogan Shimizu, Heidi Sieverding, Pascal Hitzler
The Metadata Object Description Schema (MODS) was developed to describe bibliographic concepts and metadata and is maintained by the Library of Congress.
no code implementations • 3 May 2023 • Rushrukh Rayan, Cogan Shimizu, Pascal Hitzler
We present an ontology design pattern for modeling Names as part of Roles, to capture scenarios where an Agent performs different Roles using different Names associated with the different Roles.
no code implementations • 23 Jan 2023 • Abhilekha Dalal, Md Kamruzzaman Sarker, Adrita Barua, Pascal Hitzler
One of the current key challenges in Explainable AI is in correctly interpreting activations of hidden neurons.
no code implementations • 27 Sep 2022 • Cara Widmer, Md Kamruzzaman Sarker, Srikanth Nadella, Joshua Fiechter, Ion Juvina, Brandon Minnery, Pascal Hitzler, Joshua Schwartz, Michael Raymer
Concept induction, which is based on formal logical reasoning over description logics, has been used in ontology engineering in order to create ontology (TBox) axioms from the base data (ABox) graph.
no code implementations • 27 May 2022 • Cogan Shimizu, Andrew Eells, Seila Gonzalez, Lu Zhou, Pascal Hitzler, Alicia Sheill, Catherine Foley, Dean Rehberger
Wikibase -- which is the software underlying Wikidata -- is a powerful platform for knowledge graph creation and management.
no code implementations • 17 Jun 2021 • Monireh Ebrahimi, Aaron Eberhart, Pascal Hitzler
The importance of building neural networks that can learn to reason has been well recognized in the neuro-symbolic community.
no code implementations • 11 May 2021 • Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart, Pascal Hitzler
Neuro-Symbolic Artificial Intelligence -- the combination of symbolic methods with methods that are based on artificial neural networks -- has a long-standing history.
no code implementations • 18 Mar 2020 • Abhishek Jana, Md. Kamruzzaman Sarker, Monireh Ebrahimi, Pascal Hitzler, George T. Amariucai
Powered by new advances in sensor development and artificial intelligence, the decreasing cost of computation, and the pervasiveness of handheld computation devices, biometric user authentication (and identification) is rapidly becoming ubiquitous.
1 code implementation • 11 Dec 2019 • Aaron Eberhart, Monireh Ebrahimi, Lu Zhou, Cogan Shimizu, Pascal Hitzler
We present a new approach to integrating deep learning with knowledge-based systems that we believe shows promise.
no code implementations • 10 Apr 2019 • Cogan Shimizu, Quinn Hirt, Pascal Hitzler
Pattern-based, modular ontologies have several beneficial properties that lend themselves to FAIR data practices, especially as it pertains to Interoperability and Reusability.
1 code implementation • 8 Dec 2018 • Md. Kamruzzaman Sarker, Pascal Hitzler
Concept Induction refers to the problem of creating complex Description Logic class descriptions (i. e., TBox axioms) from instance examples (i. e., ABox data).
2 code implementations • 9 Nov 2018 • Monireh Ebrahimi, Md. Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Derek Doran, Pascal Hitzler
Semantic Web knowledge representation standards, and in particular RDF and OWL, often come endowed with a formal semantics which is considered to be of fundamental importance for the field.
no code implementations • 30 Aug 2018 • Md. Kamruzzaman Sarker, Adila A. Krisnadhi, Pascal Hitzler
Once the conceptual overview, in terms of a somewhat informal class diagram, has been designed in the course of engineering an ontology, the process of adding many of the appropriate logical axioms is mostly a routine task.
no code implementations • 30 Aug 2018 • Md. Kamruzzaman Sarker, Adila Krisnadhi, David Carral, Pascal Hitzler
It has been argued that it is much easier to convey logical statements using rules rather than OWL (or description logic (DL)) axioms.
no code implementations • 30 Aug 2018 • Md. Kamruzzaman Sarker, David Carral, Adila A. Krisnadhi, Pascal Hitzler
In our experience, some ontology users find it much easier to convey logical statements using rules rather than OWL (or description logic) axioms.
no code implementations • 25 Aug 2018 • Pascal Hitzler, Adila Krisnadhi
We provide a detailed example for modular ontology modeling based on ontology design patterns.
no code implementations • 19 Apr 2018 • David Carral, Cristina Feier, Pascal Hitzler
Conjunctive query answering over expressive Horn Description Logic ontologies is a relevant and challenging problem which, in some cases, can be addressed by application of the chase algorithm.
no code implementations • 21 Nov 2017 • Ning Xie, Md. Kamruzzaman Sarker, Derek Doran, Pascal Hitzler, Michael Raymer
Many current methods to interpret convolutional neural networks (CNNs) use visualization techniques and words to highlight concepts of the input seemingly relevant to a CNN's decision.
no code implementations • 10 Nov 2017 • Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro Domingos, Pascal Hitzler, Kai-Uwe Kuehnberger, Luis C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha
Recent studies in cognitive science, artificial intelligence, and psychology have produced a number of cognitive models of reasoning, learning, and language that are underpinned by computation.
no code implementations • 13 Oct 2017 • David Carral, Pascal Hitzler, Hilmar Lapp, Sebastian Rudolph
Trees -- i. e., the type of data structure known under this name -- are central to many aspects of knowledge organization.
no code implementations • 11 Oct 2017 • Md. Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael Raymer, Pascal Hitzler
The ever increasing prevalence of publicly available structured data on the World Wide Web enables new applications in a variety of domains.
no code implementations • 10 Nov 2005 • Sebastian Bader, Pascal Hitzler
Research on integrated neural-symbolic systems has made significant progress in the recent past.