Aurélie Montarnal

Aurélie Montarnal
École des Mines d'Albi-Carmaux · The Industrial Engineering Center

PhD

About

38
Publications
1,799
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153
Citations
Additional affiliations
August 2016 - November 2016
Pennsylvania State University
Position
  • Visiting scholar
November 2015 - December 2016
École des Mines d'Albi-Carmaux
Position
  • PostDoc Position

Network

Cited By

Projects

Projects (3)
Project
The main goal of this project is to define, formalize and be able to exploit the knowledge and information concerning a given domain (in this project e-government) based on metamodels and ontologies, and a software solution that uses it in the context of a Process-Aware Interorganizational Service-Based interoperability platform. As specific objectives to reach the main goal defined we identified the following: O1 – Generate an state of the art of existing approaches to deal with e-government complexity, based also on previous work from the partners of the project O2 - Define ontologies and metamodels including key concepts and relations for e-government, that have to be taken into account by systems to interoperate O3 - Integrate already existing software and elements from the partners that can be reused providing an enhanced solution for interoperability platforms to support collaborative processes O4 - Apply the approach in a case study based on prototypes within a real organization (e.g. AGESIC, Uruguay) to validate the proposal and find improvement opportunities.
Project
The GeNePi project aims at building a platform dedicated to support crisis management. The main principle is based on the following layers: - Gathering data about the crisis situation from heterogeneous data sources potentially non-dedicated (open data, social networks, sensors, human reports). - Interpreting the gathered data to build and update situational models (presented on a GIS). - Exploit the obtained models to infer, orchestrate and adapt horizontal behavior (on-the-field collaborative response processes) and vertical behavior (hierarchical decisional processes). -