This is the version of the corpus used in the paper.
This repository contains the source code used to run the experiments and the results obtained.
In this repository you can find the TTL files of the corpus.
This Research Objects contains the supplementary material of the paper "From Scientific Variables to Knowledge Graphs: The I-ADOPT Benchmark" sent to the Semantic Web Journal. This paper presents the I-ADOPT benchmark, an expert annotated corpus and task designed to measure the performance of LLMs in the different stages of automatically creating a machine readable scientific variable. Our corpus includes more than 100 scientific variables as structured knowledge graphs You can find in the Research Object the corpus, as well as the source code needed to execute the experiments, and the results of them.
From Scientific Variables to Knowledge Graphs: The I-ADOPT Benchmark
GONZALEZ GUARDIA, ESTEBAN. "From Scientific Variables to Knowledge Graphs: The I-ADOPT Benchmark." ROHub. Dec 31 ,2025. https://w3id.org/ro-id/52654482-5442-45ea-a4b7-80a9af510c0b.
This paper presents the I-ADOPT benchmark, an expert annotated corpus and task designed to measure the performance of LLMs in the different stages of automatically creating a machine readable scientific variable.
Science and technology/Technology and engineering/IT-computer sciences
Our corpus includes more than 100 scientific variables as structured knowledge graphs
Mathematical and computer sciences (general)
From Scientific Variables to Knowledge Graphs: The I-ADOPT Benchmark This Research Objects contains the supplementary material of the paper "From Scientific Variables to Knowledge Graphs: The I-ADOPT Benchmark" sent to the Semantic Web Journal.
Systems analysis and operations research