7 citations · 42 across the 20 of their papers we have counts for
20 papers
Recursive algorithms to repair prioritized and inconsistent dl-lite knowledge base
Ghassen Hamdi, Abdelmoutia Telli, Mohamed Nazih Omri
The inconsistency in prioritized knowledge base is because the assertions (ABoxes) come from several sources with different levels of reliability. We introduce the handling of this…
Mouse Movement and Probabilistic Graphical Models Based E-Learning Activity Recognition Improvement Possibilistic Model
Anis Elbahi, Mohamed Nazih Omri, Mohamed Ali Mahjoub +1
Automatically recognizing the e-learning activities is an important task for improving the online learning process. Probabilistic graphical models such as hidden Markov models and…
Hidden Markov Model for Inferring Learner Task Using Mouse Movement
Elbahi Anis, Mohamed Ali Mahjoub, Mohamed Nazih Omri
One of the issues of e-learning web based application is to understand how the learner interacts with an e-learning application to perform a given task. This study proposes a metho…
A Linguistic Model for Terminology Extraction based Conditional Random Fields
Fethi Fkih, Mohamed Nazih Omri, Imen Toumia
In this paper, we show the possibility of using a linear Conditional Random Fields (CRF) for terminology extraction from a specialized text corpus.
Uncertain and Approximative Knowledge Representation to Reasoning on Classification with a Fuzzy Networks Based System
Mohamed Nazih Omri
The approach described here allows to use the fuzzy Object Based Representation of imprecise and uncertain knowledge. This representation has a great practical interest due to the…
Fuzzy Knowledge Representation, Learning and Optimization with Bayesian Analysis in Fuzzy Semantic Networks
Mohamed Nazih Omri
This paper presents a method of optimization, based on both Bayesian Analysis technical and Gallois Lattice, of a Fuzzy Semantic Networks. The technical System we use learn by inte…