Abstract: The method and system for merging information aimed at merging the instances of individuals, a data-processing system performs the following steps: generating the instances of individuals using an ontology which defines, for each property of each instance of an individual, an evolution model to be applied to the property, evolution model representing the evolution of reliability of the property over time in relation to variability of the property over time; preforming the merging of information by comparing, two-by-two, the generated instances of individuals with instances of individuals stored in a knowledge base, performing, for each shared property, a calculation of similarity distance by applying at least evolution model defined for the property, so as to define a coefficient of confidence for each property in order to decide whether or not to merge the instances of individuals; and updating the knowledge base with the instances of individuals resulting from information merging.

Abstract: The method and system for merging information aimed at merging the instances of individuals, a data-processing system performs the following steps: generating the instances of individuals using an ontology which defines, for each property of each instance of an individual, an evolution model to be applied to the property, evolution model representing the evolution of reliability of the property over time in relation to variability of the property over time; preforming the merging of information by comparing, two-by-two, the generated instances of individuals with instances of individuals stored in a knowledge base, performing, for each shared property, a calculation of similarity distance by applying at least evolution model defined for the property, so as to define a coefficient of confidence for each property in order to decide whether or not to merge the instances of individuals; and updating the knowledge base with the instances of individuals resulting from information merging.

Abstract: A method capable of providing a control unit with a previously unknown capability of reasoning on this knowledge. A non-exhaustive list of particularly interesting technical applications can be derived from such a method particularly in the military and civilian fields, for example such as the identification of entities by a humanoid robot, or identification of entities for peacekeeping or first aid missions, or detection of potential obstacles during displacement of an automobile vehicle, or identification of unknown ships, or identification of potential targets for drones, aircraft, land vehicles such as extraterrestrial vehicles or warships.