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service.html

@@ -176,9 +176,9 @@ <h1 class="title">The I-ADOPT Variable Annotation Service</h1>
 
 <section id="the-llm-assisted-i-adopt-variable-annotation-service" class="level2">
 <h2 class="anchored" data-anchor-id="the-llm-assisted-i-adopt-variable-annotation-service">The LLM-Assisted I-ADOPT Variable Annotation Service</h2>
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+<p style="text-align: center;">
+<img src="img/Logo.png" width="40%" alt="Logo">
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 <p>To automate the process of variable descriptions with the human-in-the-loop and aligned with the <strong>RDA endorsed I-ADOPT Framework</strong>, a collaboration between NFDI4Earth and the FAIR2Adapt project is working on the development of the I-ADOPT Service. We are constantly working on the improvement of the service output.</p>
 <p>The service leverages Large Language Models (LLMs) to transform natural language descriptions of observational research into I-ADOPT-aligned, machine-interpretable representations. This service enables researchers to generate FAIR-compliant metadata without requiring deep semantic or technical expertise. The resulting RDF representation is visualized in a graphical interface where users can review and edit the decomposition before publishing it as a nanopublication.</p>
 <p>We currently offer the I-ADOPT service on GitHub, allowing users to install and run it on their own devices. To enhance accessibility and ease of deployment, we are dockerizing the service. This will enable users to embed the I-ADOPT service in any data registry with minimal setup, ensuring consistency, portability, and scalability across different environments.</p>

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