activity
20232025
most citedNatural Language Querying System Through Entity Enrichment

14 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2025

Extracting node comparison insights for the interactive exploration of property graphs

Cristina Aguiar, Jacques Chabin, Alexandre Chanson +6

While scoring nodes in graphs to understand their importance (e.g., in terms of centrality) has been investigated for decades, comparing nodes in property graphs based on their pro…

cs.DB2025

Bridging Textual Data and Conceptual Models: A Model-Agnostic Structuring Approach

Jacques Chabin, Mirian Halfeld Ferrari, Nicolas Hiot

We introduce an automated method for structuring textual data into a model-agnostic schema, enabling alignment with any database model. It generates both a schema and its instance.…

cs.CL2024★ 14 cited

Natural Language Querying System Through Entity Enrichment

Joshua Amavi, Mirian Halfeld Ferrari, Nicolas Hiot

This paper focuses on a domain expert querying system over databases. It presents a solution designed for a French enterprise interested in offering a natural language interface fo…

cs.DB2024

From Text to Databases: attribute grammar as database meta-model

Jacques Chabin, Mirian Halfeld-Ferrari, Nicolas Hiot

We present a general methodology for structuring textual data, represented as syntax trees enriched with semantic information, guided by a meta-model G defined as an attribute gram…

cs.DB2023

Incremental Consistent Updating of Incomplete Databases

Jacques Chabin, Mirian Halfeld Ferrari, Nicolas Hiot +1

Efficient consistency maintenance of incomplete and dynamic real-life databases is a quality label for further data analysis. In prior work, we tackled the generic problem of datab…