knowledge Graph

Q²Forge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge Graphs
21/10/2025

Q²Forge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge Graphs Science ouverte

« The SPARQL query language is the standard method to access knowledge graphs (KGs). However, formulating SPARQL queries is a significant challenge for non-expert users, and remains time-consuming for the experienced ones. Best practices recommend to document KGs with competency questions and example queries to contextualise the knowledge they contain and…

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Leveraging Language Models for Generating Ontologies of Research Topics (.pdf)
26/08/2024

Leveraging Language Models for Generating Ontologies of Research Topics (.pdf)

« The current generation of artificial intelligence technologies, such as smart search engines, recommendation systems, tools for systematic reviews, and question-answering applications, plays a crucial role in helping researchers manage and interpret scientific literature. Taxonomies and ontologies of research topics are a fundamental part of this environment as they allow intelligent…

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Challenges in building Scholarly Knowledge Graphs for research assessment in Open Science
13/08/2024

Challenges in building Scholarly Knowledge Graphs for research assessment in Open Science

« Open Science has revolutionized scholarly communication and research assessment by introducing research data and software as first-class citizens. Scholarly Knowledge Graphs (SKGs) are expected to play a crucial role in generating research assessment indicators being able to aggregate bibliographic metadata records and semantic relationships describing all research products and their…

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A Multiverse Graph to Help Scientific Reasoning from Web Usage: Interpretable Patterns of Assessor Shifts in GRAPHYP
14/04/2023

A Multiverse Graph to Help Scientific Reasoning from Web Usage: Interpretable Patterns of Assessor Shifts in GRAPHYP

« The digital support for scientific reasoning presents contrasting results. Bibliometric services are improving, but not academic assessment; no service for scholars relies on logs of web usage to base query strategies for relevance judgments (or assessor shifts). Our Scientific Knowledge Graph GRAPHYP innovates with interpretable patterns of web usage, providing…

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