2 citations · 7 across the 22 of their papers we have counts for
12 papers · 1 filter
Experiversum: an Ecosystem for Curating and Enhancing Data-Driven Experimental Science
Genoveva Vargas-Solar, Umberto Costa, Jérôme Darmont +6
This paper introduces Experiversum, a lakehouse-based ecosystem that supports the curation, documentation and reproducibility of exploratory experiments. Experiversum enables struc…
Towards Responsible and Fair Data Science: Resource Allocation for Inclusive and Sustainable Analytics
Genoveva Vargas-Solar
This project addresses the challenges of responsible and fair resource allocation in data science (DS), focusing on DS queries evaluation. Current DS practices often overlook the b…
Dataversifying Natural Sciences: Pioneering a Data Lake Architecture for Curated Data-Centric Experiments in Life \& Earth Sciences
Genoveva Vargas-Solar, Jérôme Darmont, Alejandro Adorjan +6
This vision paper introduces a pioneering data lake architecture designed to meet Life \& Earth sciences' burgeoning data management needs. As the data landscape evolves, the imper…
MATILDA: Inclusive Data Science Pipelines Design through Computational Creativity
Genoveva Vargas-Solar, Santiago Negrete-Yankelevich, Javier A. Espinosa-Oviedo +2
We argue for the need for a new generation of data science solutions that can democratize recent advances in data engineering and artificial intelligence for non-technical users fr…
A Novel Method for Curating Quanti-Qualitative Content
Alejandro Adorjan, Genoveva Vargas-Solar, Regina Motz
This paper proposes a Researcher-in-the-Loop (RITL) guided content curation approach for quanti-qualitative research methods that uses a version control system based on consensus.…
From Text to Knowledge with Graphs: modelling, querying and exploiting textual content
Genoveva Vargas-Solar, Mirian Halfeld Ferrari Alves, Anne-Lyse Minard Forst
This paper highlights the challenges, current trends, and open issues related to the representation, querying and analytics of content extracted from texts. The internet contains v…
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…
Graph analytics workflows enactment on just in time data centres, Position Paper
Ali Akoglu, José-Luis Zechinelli-Martini, Hamamache Kheddouci +1
This paper discusses our vision of multirole-capable decision-making systems across a broad range of Data Science (DS) workflows working on graphs through disaggregated data centre…
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…
QoS-based Trust Evaluation for Data Services as a Black Box
Senda Romdhani, Genoveva Vargas-Solar, Nadia Bennani +1
This paper proposes a QoS-based trust evaluation model for black box data services. Under the black-box model, data services neither export (meta)-data about conditions in which th…
Putting Data Science Pipelines on the Edge
Ali Akoglu, Genoveva Vargas-Solar
This paper proposes a composable "Just in Time Architecture" for Data Science (DS) Pipelines named JITA-4DS and associated resource management techniques for configuring disaggrega…
From Data Harvesting to Querying for Making Urban Territories Smart
Genoveva Vargas-Solar, Ana-Sagrario Castillo-Camporro, José Zechinelli-Martini +1
This chapter provides a summarized, critical and analytical point of view of the data-centric solutions that are currently applied for addressing urban problems in cities. These so…