Skip to Main content Skip to Navigation
Habilitation à diriger des recherches

Understanding and Managing Medical Data and Knowledge Dynamics

Abstract : For several decades, Artificial Intelligence is concerned with the definition of the concept of knowledge in order to exploit it for various purposes such as information retrieval, decision support or semantic interoperability. This is mainly done thanks to knowledge representation models such as ontologies aiming at representing and organising the concepts of a given domain. However, the evolution of these models and its impact on depending artefacts remain open research problems. The biomedical domain is specific in a sense that its associated knowledge is complex and constantly evolving as underlined by the ever increasing number of published scientific communications. This is why I have focus on this domain and its specificities have been the various lines I have followed during my research work. Three main thematics have focused my efforts over the past years: 1- Biomedical knowledge representation 2- The management of the evolution of biomedical knowledge representation models 3- The validation of biomedical knowledge representation models These topics are more largely detailed in this manuscript
Complete list of metadatas

Cited literature [108 references]  Display  Hide  Download
Contributor : Cédric Pruski <>
Submitted on : Friday, August 26, 2016 - 10:11:28 AM
Last modification on : Friday, October 12, 2018 - 12:02:05 PM
Document(s) archivé(s) le : Sunday, November 27, 2016 - 12:09:02 PM


  • HAL Id : tel-01356056, version 1


Cédric Pruski. Understanding and Managing Medical Data and Knowledge Dynamics. Artificial Intelligence [cs.AI]. Université Paris 11, 2015. ⟨tel-01356056⟩



Record views


Files downloads