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=Amelie Gyrard=
= Amélie Gyrard =
Dr. Amelie Gyrard is a post-doc researcher at Ecole des Mines de Saint-Etienne, France, working within the Connected Intelligence - Knowledge Representation and Reasoning team.


Previously, she was a post-doc at Insight Center for Data Analytics, National University of Galway and actively working in the scientific development and coordination of the FIESTA-IoT (Federated Interoperable Semantic IoT/Cloud Testbeds and Applications) EU H2020 project.  
Passionate about ontologies, aware of ontology catalogs such as LOV and BioPortal.
 
After discussions with the LOV team, We designed LOV4IoT (a kind of incubator for IoT ontologies that do not yet meet the semantic web best practices...)
So we built PerfectO (Perfect Ontology) to disseminate semantic web best practices to the IoT community and application domains such as robotics, etc...
All useful links will be here:
* http://wiki.aiisc.ai/index.php/AmelieGyrard
* http://wiki.aiisc.ai/index.php/AmelieGyrard#Ontology_Catalog_for_Internet_of_Things_with_LOV4IoT
* http://wiki.aiisc.ai/index.php/AmelieGyrard#Semantic_Web_Best_Practices_with_PerfectO
 
TRIALOG SAS, 25 rue du Général Foy, 75008 PARIS
www.trialog.com
 
Previously Dr. Amélie Gyrard was a post-doc researcher at École des Mines de Saint-Étienne: Accueil, France, working within the Connected Intelligence - Knowledge Representation and Reasoning team.
 
Before that she was a post-doc at Insight Center for Data Analytics, National University of Galway and actively working in the scientific development and coordination of the FIESTA-IoT (Federated Interoperable Semantic IoT/Cloud Testbeds and Applications) EU H2020 project.  


Her research interests are on Software engineering for Semantic Web of Things and Internet of Things (IoT), semantic web best practices and methodologies, ontology catalogues, ontology engineering, reasoning and interoperability of IoT data. She holds a Ph.D. from Eurecom since 2015 where she designed and implemented the Machine-to-Machine Measurement (M3) framework. The framework includes the Linked Open Vocabularies for Internet of Things (LOV4IoT) ontology catalogue. The title of her dissertation is "Designing Cross-Domain Semantic Web of Things Applications". She also disseminated her work in standardizations such as ETSI M2M, oneM2M, and W3C Web of Things.
Her research interests are on Software engineering for Semantic Web of Things and Internet of Things (IoT), semantic web best practices and methodologies, ontology catalogues, ontology engineering, reasoning and interoperability of IoT data. She holds a Ph.D. from Eurecom since 2015 where she designed and implemented the Machine-to-Machine Measurement (M3) framework. The framework includes the Linked Open Vocabularies for Internet of Things (LOV4IoT) ontology catalogue. The title of her dissertation is "Designing Cross-Domain Semantic Web of Things Applications". She also disseminated her work in standardizations such as ETSI M2M, oneM2M, and W3C Web of Things.


My personal web page:
Personal web page:


http://sensormeasurement.appspot.com/?p=AmelieGyrard
http://sensormeasurement.appspot.com/?p=AmelieGyrard


My research blog (mainly based on ontolgies):
Research blog (mainly based on ontologies):


http://sensormeasurement.appspot.com/
http://sensormeasurement.appspot.com/

Latest revision as of 14:45, 9 November 2023

Amélie Gyrard

Passionate about ontologies, aware of ontology catalogs such as LOV and BioPortal.

After discussions with the LOV team, We designed LOV4IoT (a kind of incubator for IoT ontologies that do not yet meet the semantic web best practices...) So we built PerfectO (Perfect Ontology) to disseminate semantic web best practices to the IoT community and application domains such as robotics, etc... All useful links will be here:

TRIALOG SAS, 25 rue du Général Foy, 75008 PARIS www.trialog.com

Previously Dr. Amélie Gyrard was a post-doc researcher at École des Mines de Saint-Étienne: Accueil, France, working within the Connected Intelligence - Knowledge Representation and Reasoning team.

Before that she was a post-doc at Insight Center for Data Analytics, National University of Galway and actively working in the scientific development and coordination of the FIESTA-IoT (Federated Interoperable Semantic IoT/Cloud Testbeds and Applications) EU H2020 project.

Her research interests are on Software engineering for Semantic Web of Things and Internet of Things (IoT), semantic web best practices and methodologies, ontology catalogues, ontology engineering, reasoning and interoperability of IoT data. She holds a Ph.D. from Eurecom since 2015 where she designed and implemented the Machine-to-Machine Measurement (M3) framework. The framework includes the Linked Open Vocabularies for Internet of Things (LOV4IoT) ontology catalogue. The title of her dissertation is "Designing Cross-Domain Semantic Web of Things Applications". She also disseminated her work in standardizations such as ETSI M2M, oneM2M, and W3C Web of Things.

Personal web page:

http://sensormeasurement.appspot.com/?p=AmelieGyrard

Research blog (mainly based on ontologies):

http://sensormeasurement.appspot.com/