Towards Enabling FAIR Dataspaces Using Large Language Models

arXiv:2403.15451v1 Announce Type: new
Abstract: Dataspaces have recently gained adoption across various sectors, including traditionally less digitized domains such as culture. Leveraging Semantic Web technologies helps to make dataspaces FAIR, but their complexity poses a significant challenge to the adoption of dataspaces and increases their cost. The advent of Large Language Models (LLMs) raises the question of how these models can support the adoption of FAIR dataspaces. In this work, we demonstrate the potential of LLMs in dataspaces with a …

abstract adoption arxiv challenge complexity cost cs.cl culture domains enabling fair language language models large language large language models semantic technologies type web