14 citations · 15 across the 6 of their papers we have counts for
6 papers
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…
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…
NLDS-QL: From natural language data science questions to queries on graphs: analysing patients conditions & treatments
Genoveva Vargas-Solar, Karim Dao, Mirian Halfeld Ferrari Alves
This paper introduces NLDS-QL, a translator of data science questions expressed in natural language (NL) into data science queries on graph databases. Our translator is based on a…
Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs
Genoveva Vargas-Solar, Pierre Marrec, Mirian Halfeld Ferrari Alves
This paper presents an experimental study to compare analysis tools with management systems for querying and analysing graphs. Our experiment compares classic graph navigational op…
Querying Linked Data: how to ensure user's quality requirements
Jacques Chabin, Mirian Halfeld-Ferrari, Béatrice Markhoff +1
In the distributed and dynamic framework of the Web, data quality is a big challenge. The Linked Open Data (LOD) provides an enormous amount of data, the quality of which is diffic…
A ToolBox for Conservative XML Schema Evolution and Document Adaptation
Joshua Amavi, Jacques Chabin, Mirian Halfeld Ferrari +1
This paper proposes a set of tools to help dealing with XML database evolution. It aims at establishing a multi-system environment where a global integrated system works in harmony…