CHAD-ASK is introduced, a novel plugin for Morph-KGC, a Python-based RML data conversion engine that converts raw tabular survey data into fully compliant RDF triples, allowing researchers to perform complex metadata conversion without direct interaction with code or mapping languages.
An AI-assisted form for KG metadata curation that enables a more efficient curation workflow, leads to more complete metadata, and is preferred by participants over both baselines is presented.
M. Mohammadi, Anas Elghafari, Chang Sun et al.· 0 citations
The findings suggest that AI-based structured extraction may redefine how organisations formalise expertise, shifting from document-centric storage toward schema-driven knowledge architectures.
Dilyan Georgiev, E. Gourova· European Conference on Knowl...· 0 citations
Collaborative research projects in life sciences increasingly need to integrate private, embargoed consortium data with public reference databases in order to reach statistically meaningful interpretations. The Resource Description Framework (RDF) is well suited to this task: it facilitates the integration of heterogen...
Marco Pagni, Robin Engler, Frédéric Burdet et al.· 0 citations
The goal of this work is to put into context recent updates in ontology engineering and present the necessary additional information targeted to reuse by providing an updated overview and proposing a two-tier categorisation, believed to be the first review to offer such an intra-category classification.
Davide Di Pierro, L. Abrouk, A. Guyot et al.· 0 citations
This work targets a KG for Sophocles’ Antigone that supports two coupled uses: structured retrieval, through integrity and competency questions expressed in SPARQL over dramatic structure and interpretive annotations; and interactive exploration, through a lightweight read client that navigates lines across languages,...
This work proposes an architecture called K-GRASP (Knowledge Graph-based Retrieval-Augmented Structured Prompting), which combines the representational power of knowledge graphs (KG) with the probabilistic reasoning capabilities of Large Language Models (LLMs) to address the externalisation of tacit knowledge.
Rafael Luna, Gabriel S. Luna, C. E. Barbosa et al.· European Conference on Knowl...· 0 citations
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