Publication entry:

Enhancing domain modeling with pre-trained large language models: an automated assistant for domain modelers

Full citation: Prokop, D., Stenchlák, Š., Škoda, P., Klímek, J., & Nečaský, M. (2024). Enhancing domain modeling with pre-trained large language models: An automated assistant for domain modelers. International Conference on Conceptual Modeling, 235–253.
BibTeX citation file download: prokop2024enhancing.bib

Internal authors

Štěpán Stenchlák

PhD student

Petr Škoda

Researcher

Jakub Klímek

Associate professor

Martin Nečaský

Professor

Research topics

Data on the web

Working with data on the Web is difficult due to numerous issues which an interested data consumer can come across, the main ones being data interoperability issues on various levels of abstraction. To support the ecosystem of data exchange on the Web, we are working on a set of techniques and tools for proper publishing and consumption of data on the Web, which include data cataloging, transformation, querying and visualization tools. We put data-centricity, data semantics and data distribution into the core of our work.