An end-to-end information extraction framework based on the Dynamically Tokenized Relation Transformer (DTRT), which can dynamically reduce received image to-kens, filter redundant information, and efficiently extract structural knowledge to construct hyper-relational knowledge graphs is proposed.
The problem of parsing heterogeneous PDF documents is still unresolved because of the use of complex layouts, embedded watermarks, and the disposition of the current systems to generate incoherent knowledge graphs (KGs) consisting of hundreds of nodes that are loosely connected and do not contribute a lot to education....
A two-stage LLM-assisted workflow for French maintenance regulations is presented: ontology engineering from a SEMLEG-based core ontology, followed by construction of an ontology-grounded French legal knowledge graph.
Génesis Montenegro, M. Billami, Catherine Faron et al.· arXiv.org· 0 citations
This paper addresses the automated construction of knowledge graphs from natural language procedural descriptions, developing a generic approach for transforming unstructured expert knowledge into structured knowledge graphs that support downstream retrieval and question-answering applications.
Erik Sörqvist, Kenneth Obinna, Clara Bersch et al.· European Conference on Knowl...· 0 citations
The proposed knowledge graph construction method for the workpiece machining distortion domain is proposed, together with an intelligent decision-making framework driven by the collaboration of knowledge graphs and large language models, providing a feasible pathway for the structured organization, intelligent retrieva...
Deguo Yao, Zhaoze Sun, Jie Gao et al.· Applied System Innovation· 0 citations
This paper presents an end-to-end framework for automatic instrument-tag extraction and association from scanned P&IDs, and demonstrates accurate tag reconstruction, highly reliable symbol-tag associations, and a substantial reduction in manual annotation effort, providing an effective foundation for large-scale P&ID d...
Nguinwa Mbakop Dimitri Romaric, Simone Marinai· Proceedings of the 2026 ACM...· 0 citations
This investigation proposes the NORKE framework, a structure-aware solution for constructing KGs from normative documents that leverages the inherent normative hierarchy, to extract and formalize rules as semantically cohesive RDF triples.
E. D. de Souza, A. Gomes, J. D. dos Reis et al.· 0 citations
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