Marc Le Goc
About Marc Le Goc
Marc Le Goc is a Professor at Aix-Marseille Université, specializing in Artificial Intelligence and Knowledge Engineering. He has developed several significant methodologies, including Tom4L and the Timed Observations Theory, which enhance data mining and modeling of dynamic systems.
Work at Aix-Marseille University
Marc Le Goc has been a Professeur des Universités at Aix-Marseille Université since 2009. His tenure spans 15 years, during which he has contributed to the academic community in the Région de Marseille, France. His role involves teaching and conducting research in the fields of Artificial Intelligence and Knowledge Engineering.
Education and Expertise
Marc Le Goc studied Mathematics at Aix Marseille University, where he achieved his HDR (Habilitation à Diriger des Recherches) in 2006. He also holds a Thèse de Doctorat in Informatique et Mathématiques appliquées from Université de Savoie, completed between 1984 and 1989. His educational background supports his expertise in Artificial Intelligence and Knowledge Engineering.
Research Contributions
Marc Le Goc has made significant contributions to the fields of Artificial Intelligence and Knowledge Engineering. His publications are accessible on ResearchGate, showcasing his research activities. He developed the Timed Observations Theory (TOT) in 2006, which serves as a mathematical framework for modeling dynamic systems in real time using timed data.
Innovative Methodologies
Marc Le Goc created several innovative methodologies, including Tom4L, a Timed Data Mining process that outperforms existing algorithms like C4.5 and Apriori-Based algorithms. He also formulated Tom4A, a Problem Solving Method that formalizes Floridi's theory using Category Theory, and developed Tom4D, a Knowledge Engineering Methodology that identifies non-observable variables in dynamic processes.
Professional Experience
Before his academic career, Marc Le Goc worked as a Consultant in Knowledge Management at ArcelorMittal from 1998 to 2004. This role provided him with practical experience in applying knowledge engineering principles in a corporate environment, further enhancing his expertise in the field.