Proto-OKN Theme 1: Safe Agricultural Products and Water Graph (SAWGraph): An OKN to Monitor and Trace PFAS and Other Contaminants in the Nation's Food and Water Systems

Description:

Lead PI: Torsten Hahmann, University of Maine

At Kansas State: Pascal Hitzler, Ganga Hettiarachchi, Hande McGinty

Funding Agency:

National Science Foundation

From:

October, 2023

To:

September, 2026

Publications

A. Dalal, Sarma, M. Sen, Das, A., Akkamahadevi, S. E., Vasserman, E. Y., and Hitzler, P., “Neurosymbolic Hidden Neuron Analysis in Convolutional Neural Networks”, in Neuro-Symbolic AI: Bridging the Gap Between Neural Networks and Symbolic Reasoning, Elsevier, 2026.
Neurosymbolic Hidden Neuron Analysis in Convolutional Neural Networks (1005.61 KB)
A. Barua, Das, A., Sarma, M. Sen, and Hitzler, P., “Reasoning in Large Language Models: RAG and Beyond”, in Neuro-Symbolic AI: Integrating Neural Networks and Symbolic Reasoning, Elsevier, 2026.
2025_Elsevier_Book_Neurosymbolic_Reasoning_Updated-2.pdf (296.29 KB)
Y. Zhang, Moavenzadeh, S., Amjad, J., Apul, O., Barua, A., Evrendilek, F., Hahmann, T., Hettiarachchi, G., Hitzler, P., Kedrowski, D., Kilaru, V., Lashkari, P., Schweikert, K., Williams, A., and McGinty, H., “CompTox Ontology: Leveraging Knowledge Graphs for PFAS Monitoring and Decision-Making”, in THE ACM WEB CONFERENCE 2026, Dubai, United Arab Emirates, April 13-17, 2026.
CompTox_Ontology_ACM_submission.pdf (707.69 KB)
A. Dalal, Rayan, R., Barua, A., Akkamahadevi, S. Ereshi, Das, A., Widmer, C., Vasserman, E. Y., Sarker, K., and Hitzler, P., “Toward a Neurosymbolic Understanding of Hidden Neuron Activations”, Neurosymbolic Artificial Intelligence, vol. 2, 2026.
dalal-et-al-2026-toward-a-neurosymbolic-understanding-of-hidden-neuron-activations.pdf (1.96 MB)
A. Barua and Hitzler, P., “Description Logic Concept Learning using Large Language Models”, in 19th International Conference on Neurosymbolic Learning and Reasoning, Santa Cruz, California, USA, 2025, vol. 284:1–19, .
48_Description_Logic_Concept_L.pdf (1.16 MB)
A. Barua, Amini, R., Norouzi, S. Saki, Amini, R., and Hitzler, P., “Complex Ontology Alignment using LLMs: A Case Study”, in The 20th International Workshop on Ontology Matching collocated with the 24th International Semantic Web Conference ISWC-2025, Nara, Japan, 2025.
2025_OM_Complex_OM-2.pdf (140.95 KB)
A. Dalal, Rayan, R., Barua, A., Vasserman, E. Y., Sarker, K., and Hitzler, P., “On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis”, in 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, 2024.
2024_NeSy_CI.pdf (358.13 KB)
A. Barua, Widmer, C., and Hitzler, P., “Concept Induction using LLMs: A user experiment for assessment”, in Proceedings of the 18th International Conference on Neural-Symbolic Learning and Reasoning, NeSy 2024, Barcelona, Spain, September , 2024.
2024_NeSy_Concept_Induction_using_LLM_s.pdf (1.37 MB)
A. Barua, “Concept Induction using LLMs”, in The 23rd International Semantic Web Conference, ISWC 2024, Maryland, USA, 2024.
ISWC24_DC_Adrita.pdf (948.68 KB)
A. Barua, Norouzi, S. Saki, and Hitzler, P., “DaSeLab at LLMs4OL 2024 Task A: Towards Term Typing in Ontology Learning”, The 23rd Internatinal Semantic Web Conference, ISWC 2024, vol. 1st LLMs4OL Challenge @ ISWC 2024. TIB Open Access Publishing proceedings, Maryland, USA, 2024.
2024_LLM4OL__ISWC_Challenge-2.pdf (114.86 KB)
S. Saki Norouzi, Barua, A., Christou, A., Gautam, N., Eells, A., Hitzler, P., and Shimizu, C., “Ontology Population using LLMs”, in Handbook on Neurosymbolic AI and Knowledge Graphs, 2024.
2024_NAI_KG_book_chapter__Ontology_Population_with_LLMs.pdf (285.91 KB)

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