Valda – Page 8 – Value from data

Valda — Value from data

Valda is a joint research project-team between Inria Paris, École normale supérieure, and CNRS, within the Computer science department of École normale supérieure (DI/ENS, UMR 8548). The Valda team's focus is on both foundational and systems aspects of complex data management, especially human-centric data. Valda was created in the fall of 2016 and became an Inria project-team early 2018.

Presentation

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Seminar

Come attend our research seminar

Members

Meet the members of our team

Publications

Consult our publications

Valda Seminar: Rafael Peñaloza

Camille Bourgaux 2019/06/28 2019/06/28Seminars

Rafael Peñaloza, University of Milano-Bicocca 12 July 2019, 10:30-11:30 ENS, S16 Lean Kernels: A Bridge Between Justifications and Provenance A justification is a minimal set of constraints (or axioms) responsible for a consequence to follow from a knowledge base. Since the time required to find justifications depends on the size…

Valda Seminar: Gaël Varoquaux

Camille Bourgaux 2019/05/06 2019/05/06Seminars

Gaël Varoquaux, Inria Saclay 28 June 2019, 10:30-11:30 ENS, S16 Statistics on tables with non-curated entries “Dirty data” is said to be the data-scientists worst time sink. We investigate a specific data-quality challenge at the intersection of database curation and statistical learning. Data tables often contain many non-numerical entries. Knowledge…

Valda Seminar: Bruno Guillon

Camille Bourgaux 2019/04/24 2019/04/24Seminars

Bruno Guillon, Inria Lille 3 May 2019, 10:30-11:30 ENS, S16 Finding paths in large data graphs When dealing with large graphs, classical algorithms for finding paths such as Dijkstra’s Algorithm are unsuitable, because they require to perform too many disk accesses. To avoid the cost of these expensive accesses, while…

Valda Seminar: Camille Bourgaux

Camille Bourgaux 2019/02/27 2019/02/27Seminars

8 March 2019, 10:30-11:30 ENS, S16 Querying Attributed DL-Lite Ontologies Using Provenance Semirings Attributed description logic is a recently proposed formalism, targeted for graph-based representation formats, which enriches description logic concepts and roles with finite sets of attribute-value pairs, called annotations. One of the most important uses of annotations is…