Thamer Mecharnia

According to our database, Thamer Mecharnia authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CODE-ACCORD: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance Checking.

Hansi Hettiarachchi, Amna Dridi, Mohamed Medhat Gaber, Pouyan Parsafard, Nicoleta Bocaneala, Katja Breitenfelder, Gonçal Costa Jutglar, Maria M. Hedblom, Mihaela Juganaru-Mathieu, Thamer Mecharnia, Sumee Park, He Tan, Abdel-Rahman H. Tawil, Edlira Vakaj

CoRR, 2024

2023

DATA_AsbestosReveal.

Thamer Mecharnia

Dataset, March, 2023

Modular knowledge integration for smart building digital twins.

Isaac Fatokun, Arun Raveendran Nair, Thamer Mecharnia, Maxime Lefrançois, Victor Charpenay, Fabien Badeig, Antoine Zimmermann

Proceedings of the 11th Linked Data in Architecture and Construction Workshop, 2023

A semantic blockchain-based system for drug traceability.

Maroua Masmoudi, Thamer Mecharnia, Redouane Bouhamoum, Hajer Baazaoui Zghal, Chirine Ghedira, Vlado Stankovski, Dan Vodislav

Proceedings of the International Database Engineered Applications Symposium Conference, 2023

A Neighborhood Encoding for Subgraph Queries in Graph Databases.

Chemseddine Nabti, Thamer Mecharnia, Salah Eddine Boukhetta, Karima Amrouche, Hamida Seba

Proceedings of the Database and Expert Systems Applications, 2023

2022

Approches sémantiques pour la prédiction de présence d'amiante dans les bâtiments : une approche probabiliste et une approche à base de règles. (Semantic approaches for predicting the presence of asbestos in buildings: a probabilistic approach and a rule-based approach).

Thamer Mecharnia

PhD thesis, 2022

2021

Mining Contextual Rules to Predict Asbestos in Buildings.

Thamer Mecharnia, Nathalie Pernelle, Céline Rouveirol, Fayçal Hamdi, Lydia Chibout Khelifa

Proceedings of the Graph-Based Representation and Reasoning, 2021

Découverte de règles contextuelles pour prédire la présence d'amiante dans les bâtiments.

Thamer Mecharnia, Lydia Chibout Khelifa, Fayçal Hamdi, Nathalie Pernelle, Céline Rouveirol

Proceedings of the IC 2021 : 32es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 32nd French Knowledge Engineering Conference), Bordeaux, France, June 30, 2021

2019

An Approach Toward a Prediction of the Presence of Asbestos in Buildings Based on Incomplete Temporal Descriptions of Marketed Products.

Thamer Mecharnia, Lydia Chibout Khelifa, Nathalie Pernelle, Fayçal Hamdi

Proceedings of the 10th International Conference on Knowledge Capture, 2019

Approche de prédiction de présence d'amiante dans les bâtiments basée sur l'exploitation des descriptions temporelles incomplètes de produits commercialisés.

Thamer Mecharnia, Nathalie Pernelle, Lydia Chibout Khelifa, Fayçal Hamdi

Proceedings of the IC 2019: 30es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 30th French Knowledge Engineering Conference), 2019