Researcher in knowledge representation, semantic web, and knowledge engineering
"Making the Semantic Web formalisms and technologies accessible to the Web of Things"

Maxime Lefrançois is a former student of the Ecole Normale Supérieure de Cachan, and prepared and passed the Agrégation exam in Mechanics in 2008. He then received a Master degree from Grenoble INP in Signal Processing in 2009, and another from Université Grenoble 2 in Informatics in 2010, while being sessional Lecturer in Mechanics at Université Grenoble 1. During his Ph.D. he prepared in the WIMMICS team, INRIA Sophia-Antipolis, he worked on knowledge representation and reasoning for the Meaning-Text linguistic theory. Between 2014 and 2017, he was a post-doctoral researcher at the École des Mines de Saint-Étienne, and was involved in several bilateral, national, and European projects, including the ITEA2 SEAS project in the context of which he bootstrapped the development of the SEAS ontology: a modular and versioned ontology built on top of the OGC&W3C SOSA/SSN standard, that consists of simple ontology patterns that can be instantiated for different engineering-related verticals. Maxime is one of the co-editors of the SOSA/SSN standard, and currently leads an ETSI Specialist Task Force (STF 556) to inject the SEAS proposals in the ETSI SmartM2M SAREF European standard ontology. He also initiated the development of the SPARQL-Generate RDF lifting language, and the cdt:ucum Datatypes. Finally, he has experience in organizing workshops and tutorials in international events. Since 2017 he is Associate Professor in the Connected-Intelligence team at the École des Mines de Saint-Étienne, France.

keywords: Web, Knowledge Representation and Reasoning, Knowledge Engineering, Semantic Web, Linked Data, Web of Things, Computational Linguistics

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Contact Details

address: EMSE ISCOD-Team, 29 Rue Pierre et Dominique Ponchardier, Saint-Étienne, 42100, France
office: 411
mail: Maxime.Lefrancois@emse.fr
website: http://maxime-lefrancois.info
phone: +33 4 77 42 66 40
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