Tan, H., Yang, Y., Yuan T., Li, Z.

Bootstrapping Knowledge Acquisition from Domain Text with a Seed Ontology and Small Language Models

accepted to The 25th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2026)

The ontology for metal casting, materials and manufacturing (CASTON)

This ontology provides a formal, machine-interpretable representation of core knowledge in casting, materials behavior, and manufacturing operations. It presents a first step toward building an AI-native semantic infrastructure for the domain.

All the serialization format for the ontology and supporting HTML documentation are openly available here.

Liu, X., Li, Z., He, M., Ma, Z., Wu, X., Yilmaz, G., Xia, Y., Li, B., Tan, H., Fuh, J. Y. H., Lu, W. F., Jarfors, A. E. W., Jansson, P.

From Prompt to Graph: Comparing LLM-Based Information Extraction Strategies in Domain-Specific Ontology Development

Procedia Computer Science (2026), vol 277, pp. 50–60.
7th International Conference on Industry of the Future and Smart Manufacturing (former International Conference on Industry 4.0 and Smart Manufacturing).

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Li, Z., Jansson, P., Tan, H., & Jarfors, A. E. W.

Leveraging LLM and KG for Knowledge Transfer in Traditional Material Manufacturing Industry: Experience and Challenges.

SeMatS 2025: The 2nd International Workshop on Semantic Materials Science

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