As organizations face the challenges of processing exponentially growing data volumes,
their reliance on analytics to unlock value from this data has intensified. However, the …

In this paper, we investigate Data Wrangling (DW) pipelines in the form of workflows devised
by data analysts with varying levels of experience to find commonalities or patterns. We …

During the 1990s and first decade of the 2000s, problem-solving environments (PSEs) were
a topic of research among a community with the vision to create software systems “with all of …

This thesis presents SLED (Semantic LLM Enrichment of Data), a Python library that
leverages Large Language Models (LLMs) to automate essential tasks in data wrangling …

The human-readable simplicity with which the CSV format was devised, together with the
absence of a standard that strictly defines this format, has allowed the proliferation of several …