Datalens combines an OWL ontology and a task-oriented SKOS thesaurus to provide a unified semantic layer over machine learning metadata, and an RDF knowledge graph instanciating the ontology that describes datasets and models from the Hugging Face ecosystem.
Knowledge Graphs (KGs) offer a promising foundation for integrating heterogeneous resources, enabling complex querying and knowledge discovery. However, taking advantage of such knowledge infrastructures is often limited by the technical expertise required to construct, maintain, query, and explore them. Language Model...
Luiz Do Valle Miranda· Proceedings of the 26th ACM/...· 0 citations
The publication of heterogeneous data into Enterprise Knowledge Graphs (EKGs) remains challenging due to schema matching, semantic inconsistencies, and the effort required to create mappings and target ontology. This paper presents a metadata-driven multi-agent framework based on Large Language Models (LLMs) for genera...
Asley Lioba, José L. S. Freitas, T. V. Rolim et al.· Brazilian Symposium on Datab...· 0 citations
Constructing typed, justified semantic links between ontologies is essential for enabling interoperability across heterogeneous and interdisciplinary knowledge domains. However, manually curating such links is difficult to scale. To address this challenge, we propose an end-to-end framework for ontology network constru...
Scholarly metadata is an essential element in the scholarly ecosystem, empowering discovery, interoperability, and provenance and its efficacy relies on metadata quality and coverage. However, with the substantial increase in the number and diversity of research artifacts over time, it has become a cumbersome task to h...
Muhammad Asif Suryani, Brigitte Mathiak, Florian Reitz et al.· Proceedings of the 26th ACM/...· 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
This work describes the modelling of a relational RDM system with an ontology, and the subsequent construction of a KG based on it, and shows how to easily and reliably build an efficient KG from such domain-specific RDM systems, but also how doing so enables more advanced use cases.
S. Vázquez, V. Dudarev, A. Ludwig et al.· 0 citations
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