تقرير
Towards Enabling FAIR Dataspaces Using Large Language Models
| العنوان: | Towards Enabling FAIR Dataspaces Using Large Language Models |
|---|---|
| المؤلفون: | Arnold, Benedikt T., Theissen-Lipp, Johannes, Collarana, Diego, Lange, Christoph, Geisler, Sandra, Curry, Edward, Decker, Stefan |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language |
| الوصف: | 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. Comment: 8 pages. Preprint. Under review |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2403.15451 |
| رقم الأكسشن: | edsarx.2403.15451 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |