Our work on Reincarnate was recently presented at the SEMANTiCS Conference 2024, held in Amsterdam from September 17th to 19th, 2024. As one of Europe’s leading conferences on Linked Data, Semantic AI, and Data Science, it brought together experts and innovators from around the world to explore the latest advancements in semantic technologies and their applications.
Ghezal Ahmad Jan Zia, one of our lead researchers from Bundesanstalt für Materialforschung und -prüfung, presented the paper titled “Leveraging Large Language Models for Automated Knowledge Graphs Generation in Non-Destructive Testing (NDT).”
The paper highlighted a novel methodology for automating the generation of knowledge graphs from scientific literature, specifically within the domain of Non-Destructive Testing (NDT) – a crucial field in materials science and engineering, offering techniques to evaluate the properties of materials without causing damage – applied to building materials.
The research uses advanced large language models (LLMs) to extract and semantically relate concepts from a range of scientific articles. This technology enables the automatic creation of material-specific agents capable of processing data related to concrete, wood, steel, and bricks. By converting this data into a structured knowledge graph, we offer a scalable solution for improving decision-making in non-destructive testing.
Ghezal’s presentation attracted significant interest from conference attendees, including researchers from various fields such as materials science, engineering, and semantic technologies. During the event, Ghezal made valuable connections with potential collaborators, highlighting the applicability of Reincarnate in the broader scientific community.
This exposure is a testament to how Reincarnate is pushing the boundaries of knowledge discovery and innovation, utilizing cutting-edge AI techniques to advance the fields of materials science and engineering.
Keep an eye out for more exciting developments as we continue to apply semantic technologies to enhance material integrity, safety, and sustainability. You can explore more about the presented work here.