The results show that structured RDF pipelines currently provide the most stable integration behavior, whereas JSON and text pipelines remain more sensitive to errors in mapping, extraction, and linking.
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
We present EXYGEN (EXplore Your Graphs ENgine), a framework for knowledge graph (KG) understanding that enables conversational access to KGs at scale. We address two questions in sequence. First, how effectively can LLMs perform text-to-SPARQL generation given only automatically derived structured metadata and small gr...
Harshdeep Singh, Yu-Rui Zhu, Giovanni Colavizza et al.· 0 citations
The incorporation of Semantic Web technologies within scientific environments is becoming an increasingly popular Research Data Management (RDM) practice. While ontologies offer flexible, reusable and machine-readable vocabularies to describe domain-specific research data, Knowledge Graphs (KGs) facilitate the integrat...
S. Vázquez, V. Dudarev, A. Ludwig et al.· 0 citations
Ontology-driven knowledge graph construction from industrial text remains challenging due to the domain specificity of documents, the scarcity of annotated resources, and the complexity of ontology engineering workflows. This paper presents and investigates the applicability of an ontology learning pipeline that combin...
Abdelhadi Belfadel, Maxence Gagnant, Joseph Kattan et al.· 0 citations
autoschema improves mean factoid accuracy over TogoMCP in the biomedical KGQA tasks and gives consistent gains in the longitudinal BioASQ evaluation, and reduces iteration budget exhaustion and uses fewer tool calls on average in the core evaluation.
Interoperability is a central challenge in modern materials science as scientific workflows increasingly need to integrate heterogeneous computational methods, experimental infrastructures, data platforms, and AI‐assisted systems. This perspective presents interoperability concepts from European digitalization initiati...
Jan Janssen, Osamu Waseda, Bernd Bayerlein et al.· Advanced Engineering Materia...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.