@@ -53,7 +53,7 @@ Another piece of the research communications puzzle to address is representing o
Nanopublications can serve as a standard framework to represent these claims, providing a concentrated source of truth for RAD. Nanopublications can bring finer granularity to RAD-adjacent information, including instrument, device, and physical technology offerings.[@Groth:2010] They've also been shown to be an indicator of contradiction between different claims. [@Asif:2021]
Bringing an interface to the knowledge graph, chatbots could be the initial implementation of ACORN AI functionality, created by embedding ACORN-formatted RAD in a vector database and querying an off-the-shelf large language model (LLMs) on the database. The LLM would use the query to find the most similar or related context, using RAD to inform retrieval augmented generation (RAG) for extra prompt content and then feed through the LLM again to give the user an answer. Because RAD is already input in JSON format, it's clearly defined, machine friendly, and in a predictable, easy-to-validate format. This makes research data highly accessible for AI applications, which, in turn, makes it highly accessible for the layperson.[@Shao:2025]
Bringing an interface to the knowledge graph, chatbots could be the initial implementation of ACORN AI functionality, created by embedding ACORN-formatted RAD in a vector database and querying an off-the-shelf large language model (LLM) on the database. The LLM would use the query to find the most similar or related context, using RAD to inform retrieval augmented generation (RAG) for extra prompt content and then feed through the LLM again to give the user an answer. Because RAD is already input in JSON format, it's clearly defined, machine friendly, and in a predictable, easy-to-validate format. This makes research data highly accessible for AI applications, which, in turn, makes it highly accessible for the layperson.[@Shao:2025]
Coupled with RAG methodology, a chatbot could add necessary research data context for truly unique science communication capabilities.[@Patel:2024] Training could allow an existing model to make a base model with desired characteristics (e.g. follow AP style guide).[@Gao:2024] Through existing open-source LLMs, a trained RAD chatbot could provide information on the same project to both a fifth-grader writing a science report to a researcher at a partnering national laboratory.[@Hemmat:2024]
