GAIGNARD , Alban

This thesis addresses the issues of coherent distributed knowledge production and sharing in the Life-science area. In spite of the continuously increasing computing and storage capabilities of computing infrastructures, the management of massive scientific data through centralized approaches became inappropriate, for several reasons: (i) they...

Dans le cadre d'études de cohortes de patients, les neurosciences computationnelles sont confrontées à la manipulation de volumes de données toujours plus importants et généralement distribués, ainsi qu'à la complexité de leurs taritements. De plus, il est en général difficile de remonter à la source des éventements ayant conduit à l'échec...

Grids are key technologies to federate data distributed in multiple health institutions, thus enabling large scale multi-centric studies. However, the take up of these technologies is slow due to the difficulty to manipulate sensitive medical data in an open environment and the recognized risk of federated sites to loose control over their...

E-Science platforms leverage Service Oriented Architecture (SOA) principles to deliver large catalogs of data processing services and experiments description workflows. In spite of their growing success, the usability of these platforms is hampered by their catalogs size and the domain-specific knowledge needed to manipulate the services...

La fédération et l'interrogation multi-sources de données est un besoin croissant. En neurosciences collaboratives, les entrepôts de données sont hétérogènes et ne peuvent être relocalisés hors des sites d'origine, pour des raisons historiques, juridiques ou éthiques. Cet article présente un système de recherche d'informations qui s'interface à...

Querying and linking distributed and heterogeneous databases is increasingly needed, as plentiful data resources are published over the Web. This work describes the design of a versatile query system named KGRAM that supports (i) multiple query languages among which the SPARQL 1.1 standard, (ii) federation of multiple heterogeneous and...

L'objectif de notre travail présenté dans cet article est de favoriser la réutilisation de règles sur le Web, basée sur les principes du Web de données. En complément de données RDF, de schémas RDFS ou d'ontologies OWL, des règles peuvent être publiées et partagées sur le Web. Notre approche consiste à considérer des bases de règles comme des...

Neurodata repositories federation is increasingly needed to implement multi-centric studies. Data federation is difficult due to the heterogeneous nature of distributed data repositories and the technical difficulties faced in addressing simultaneously multiple data sources. This paper describes a data federation system based on a semantic...

Translational research in Life-Science nowadays leverages e-Science platforms to analyse and produce huge amounts of data. With the unprecedented growth of Life-Science data repositories, identifying relevant data for analysis becomes increasingly difficult. The instrumentation of e-Science platforms with provenance tracking techniques provide...

The development of scientific workflows is evolving towards the system- atic use of service oriented architectures, enabling the composition of dedicated and highly parameterized software services into processing pipelines. Building consistent workflows then becomes a cumbersome and error-prone activity as users cannot man- age such large scale...

Aspect-Oriented Modeling (AOM) approaches propose to model reusable aspects that can be composed in different systems at a model level. To improve the reusability, several contributions have pointed out the needs of variability in the AOM approaches. Nevertheless, the support of variability makes more complex the aspect design and the...

Aspect-Oriented Modeling (AOM) approaches propose to model reusable aspects, or cross-cutting concerns, that can be composed in different systems at a model or code level. Building complex systems with reusable aspects helps managing software complexity. But in gen- eral, reusability of an aspect is limited to a particular context. On the one...

International audience

The NeuroLOG project designs an ambitious neurosciences middleware, gaining from many existing components and learning from past project experiences. It is targeting a focused application area and adopting a user-centric perspective to meet the neuroscientists expectations. It aims at fostering the adoption of HealthGrids in a pre-clinical...

This paper describes the design of the NeuroLOG middleware data management layer, which provides a platform to share heterogeneous and distributed neuroimaging data using a federated approach. The semantics of shared information is captured through a multi-layer application ontology and a derived Federated Schema used to align the heterogeneous...

This paper describes the creation of a comprehensive conceptualization of object models used in medical image simulation, suitable for major imaging modalities and simulators. The goal is to create an application ontology that can be used to annotate the models in a repository integrated in the Virtual Imaging Platform (VIP), to facilitate...

International audience

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no absract.

Grid technologies are appealing to deal with the challenges raised by computational neurosciences and support multi-centric brain studies. However, core grids middleware hardly cope with the complex neuroimaging data representation and multi-layer data federation needs. Moreover, legacy neuroscience environments need to be preserved and cannot...

This paper presents the Virtual Imaging Platform (VIP), a platform accessible at http://vip.creatis.insa-lyon.fr to facilitate the sharing of object models and medical image simulators, and to provide access to distributed computing and storage resources. A complete overview is presented, describing the ontologies designed to share models in a...