most citedZero-Shot Topic Classification of Column Headers: Leveraging LLMs for Metadata Enrichment

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

An Ontology for Unified Modeling of Tasks, Actions, Environments, and Capabilities in Personal Service Robotics

Margherita Martorana, Francesca Urgese, Ilaria Tiddi +1

Personal service robots are increasingly used in domestic settings to assist older adults and people requiring support. Effective operation involves not only physical interaction b…

cs.AI2025

Bridging Bots: from Perception to Action via Multimodal-LMs and Knowledge Graphs

Margherita Martorana, Francesca Urgese, Mark Adamik +1

Personal service robots are deployed to support daily living in domestic environments, particularly for elderly and individuals requiring assistance. These robots must perceive com…

cs.DB2025★ 1 cited

Metadata-driven Table Union Search: Leveraging Semantics for Restricted Access Data Integration

Margherita Martorana, Tobias Kuhn, Jacco van Ossenbruggen

Over the past decade, the Table Union Search (TUS) task has aimed to identify unionable tables within data lakes to improve data integration and discovery. While numerous solutions…

cs.CL2024

Column Vocabulary Association (CVA): semantic interpretation of dataless tables

Margherita Martorana, Xueli Pan, Benno Kruit +2

Traditional Semantic Table Interpretation (STI) methods rely primarily on the underlying table data to create semantic annotations. This year's SemTab challenge introduced the ``Me…

cs.DB2024★ 1 cited

Zero-Shot Topic Classification of Column Headers: Leveraging LLMs for Metadata Enrichment

Margherita Martorana, Tobias Kuhn, Lise Stork +1

Traditional dataset retrieval systems rely on metadata for indexing, rather than on the underlying data values. However, high-quality metadata creation and enrichment often require…