1 citations · 1 across the 5 of their papers we have counts for
5 papers
Towards Agentic Schema Refinement
Agapi Rissaki, Ilias Fountalis, Nikolaos Vasiloglou +1
Large enterprise databases can be complex and messy, obscuring the data semantics needed for analytical tasks. We propose a semantic layer in-between the database and the user as a…
QirK: Question Answering via Intermediate Representation on Knowledge Graphs
Jan Luca Scheerer, Anton Lykov, Moe Kayali +4
We demonstrate QirK, a system for answering natural language questions on Knowledge Graphs (KG). QirK can answer structurally complex questions that are still beyond the reach of e…
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
Yaojie Hu, Ilias Fountalis, Jin Tian +1
Tabular data is ubiquitous in real-world applications and abundant on the web, yet its annotation has traditionally required human labor, posing a significant scalability bottlenec…
CHORUS: Foundation Models for Unified Data Discovery and Exploration
Moe Kayali, Anton Lykov, Ilias Fountalis +3
We apply foundation models to data discovery and exploration tasks. Foundation models include large language models (LLMs) that show promising performance on a range of diverse tas…
δ-MAPS: From spatio-temporal data to a weighted and lagged network between functional domains
Ilias Fountalis, Annalisa Bracco, Bistra Dilkina +2
We propose δ-MAPS, a method that analyzes spatio-temporal data to first identify the distinct spatial components of the underlying system, referred to as "domains", and second to i…