1 citations · 1 across the 6 of their papers we have counts for
6 papers
OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completion
Frédéric Ieng, Soror Sahri, Mourad Ouzzani +5
Knowledge Graphs (KGs) are widely used to represent structured knowledge, yet their automatic construction, especially with Large Language Models (LLMs), often results in incomplet…
Semantic-Guided RL for Interpretable Feature Engineering
Mohamed Bouadi, Arta Alavi, Salima Benbernou +1
The quality of Machine Learning (ML) models strongly depends on the input data, as such generating high-quality features is often required to improve the predictive accuracy. This…
Leveraging Knowlegde Graphs for Interpretable Feature Generation
Mohamed Bouadi, Arta Alavi, Salima Benbernou +1
The quality of Machine Learning (ML) models strongly depends on the input data, as such Feature Engineering (FE) is often required in ML. In addition, with the proliferation of ML-…
Cleaning Inconsistent Data in Temporal DL-Lite Under Best Repair Semantics
Mourad Ouziri, Sabiha Tahrat, Salima Benbernou +1
In this paper, we address the problem of handling inconsistent data in Temporal Description Logic (TDL) knowledge bases. Considering the data part of the Knowledge Base as the sour…
SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality
Wissam Maamar Kouadri, Salima Benbernou, Mourad Ouziri +2
The opinion expressed in various Web sites and social-media is an essential contributor to the decision making process of several organizations. Existing sentiment analysis tools a…
Data Leak Aware Crowdsourcing in Social Network
Iheb Ben Amor, Athman Bougetteya, Mourad Ouziri +2
Harnessing human computation for solving complex problems call spawns the issue of finding the unknown competitive group of solvers. In this paper, we propose an approach called Fr…