1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Towards Enabling FAIR Dataspaces Using Large Language Models

      Preprint

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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 concrete example. We also derive a research agenda for exploring this emerging field.

          Related collections

          Author and article information

          Journal
          18 March 2024
          Article
          2403.15451
          06de3223-4af3-45e5-b8ac-1173d808d834

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

          History
          Custom metadata
          8 pages. Preprint. Under review
          cs.CL

          Theoretical computer science
          Theoretical computer science

          Comments

          Comment on this article