Volume 32 - 2019


1. From conceptual model to implementation model Piloting a multi-level case study in Cameroon.

Kameni, Eric,  ; Van Der Weide, Theo,  ; De Groot, W. T..
This paper presents the application of a Multi-Level Agent Based Model technology through a Natural Model based Design in Context (NMDC) to describe and model a class of environ-mental problems. NMDC allow training domain expert to design a conceptual model for a concrete environmental problem. This model describes the underlying application domain in terms of environmental concepts and neither requires specific technical skills nor involves implementation details. We show how the associated TiC (Tool-in-Context) develop through NMDC can help the domain expert to describe in semi-natural (specific) language the environmental problem. This description is the basis for TiC to generate a simulation tool. On the base of this, we transform the specific language to NetLogo agent based code, thereby facilitating an early prototype application to be used by the domain expert. Finally, we applied this approach to explain and analyze the process of deforestation around the Laf Forest Reserve and […]

2. Approche hiérarchique d’extraction des compétences dans des CVs en format PDF

Flambeau Jiechieu Kameni, Florentin  ; Tsopze, Norbert.
The aim of this work is to use a hybrid approach to extract CVs' competences. The extraction approach for competences is made of two phases: a segmentation into sections phase within which the terms representing the competences are extracted from a CV; and a prediction phase that consists from the features previously extracted, to foretell a set of competences that would have been deduced and that would not have been necessary to mention in the resume of that expert. The main contributions of the work are two folds : the use of the approach of the hierarchical clustering of a résume in section before extracting the competences; the use of the multi-label learning model based on SVMs so as to foretell among a set of skills, those that we deduce during the reading of a CV. Experimentation carried out on a set of CVs collected from an internet source have shown that, more than 10% improvement in the identification of blocs compared to a model of the start of the art. The multi-label […]