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Posts

Future Blog Post

less than 1 minute read

Published: January 01, 2199

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published: August 14, 2015

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published: August 14, 2014

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published: August 14, 2013

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published: August 14, 2012

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

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publications

Categorizing data imperfections for object matching in wastewater networks using belief theory

Published in International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD), 2022

Categorization of data imperfections in wastewater networks using belief theory for improved object matching.

Recommended citation: Et-targuy, O., Belghaddar, Y., Begdouri, A., Chahinian, N., Seriai, A., & Delenne, C. (2022, May). Categorizing data imperfections for object matching in wastewater networks using belief theory. In International Conference on Advanced Intelligent Systems for Sustainable Development (pp. 387-398). Cham: Springer Nature Switzerland.
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Syntactic computation of Fagin-Halpern conditioning in possibility theory

Published in 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR), 2023

Syntactic computation approach for FH-conditioning in possibility theory.

Recommended citation: Et-Targuy, O., Begdouri, A., Benferhat, S., & Delenne, C. (2023, June). Syntactic computation of Fagin-Halpern conditioning in possibility theory. In Proceedings of 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (pp. 164-146).
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Revising Weighted Knowledge Bases Using FH-Conditioning

Published in ENIGMA workshop co-located with KR 2023, 2023

Extension of FH-conditioning to weighted knowledge bases for belief revision.

Recommended citation: Et-Targuy, O., Begdouri, A., Benferhat, S., & Delenne, C. (2023, September). Revising Weighted Knowledge Bases Using FH-Conditioning. In ENIGMA workshop co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023).
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A Graph-Based Approach for Representing Wastewater Networks from GIS Data: Ensuring Connectivity and Consistency

Published in International Conference on Intelligent Systems and Data Science (ISDS), 2023

Graph-based methodology for ensuring connectivity in wastewater network representations from GIS data.

Recommended citation: Et-Targuy, O., Begdouri, A., Benferhat, S., Delenne, C., Do, T. N., & Ma, T. T. (2023, October). A Graph-Based Approach for Representing Wastewater Networks from GIS Data: Ensuring Connectivity and Consistency. In International Conference on Intelligent Systems and Data Science (pp. 243-257). Singapore: Springer Nature Singapore.
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From GIS to Graphical Representation for Maintaining Connectivity of Wastewater Network Elements

Published in SN Computer Science, 2024

Graph-based approach for transforming GIS wastewater network representations into connected network structures.

Recommended citation: Et-Targuy, O., Delenne, C., Benferhat, S., Begdouri, A., Do, T. N., & Ma, T. T. (2024). From GIS to Graphical Representation for Maintaining Connectivity of Wastewater Network Elements. SN Computer Science, 5(7), 851.
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Dempster-Shafer theory for object matching under data imperfection constraints: Application to wastewater networks’ line matching

Published in Information Sciences, 2025

Application of Dempster-Shafer theory to wastewater network object matching under data imperfection.

Recommended citation: Belghaddar, Y., Begdouri, A., Chahinian, N., Seriai, A., Et-targuy, O., & Delenne, C. (2025). Dempster-Shafer theory for object matching under data imperfection constraints: Application to wastewater networks' line matching. Information Sciences, 122304.
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Analysis of the Syntactic Computation of Fagin-Halpern Conditioning in Possibilistic Logic

Published in International Journal of Approximate Reasoning, 2025

First complete syntactic formulation of FH-conditioning in possibility theory with efficient computational complexity.

Recommended citation: Et-Targuy, O., Benferhat, S., Delenne, C., Begdouri, A. (2025). Analysis of the Syntactic Computation of Fagin-Halpern Conditioning in Possibilistic Logic. International Journal of Approximate Reasoning.
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talks

Categorizing Data Imperfections for Object Matching in Wastewater Networks Using Belief Theory

Published: May 01, 2022

Conference presentation on applying belief theory to categorize and handle various types of data imperfections in wastewater network object matching.

Catégorisation des imperfections des données pour l’appariement d’objets dans les réseaux d’eaux usées à l’aide de la théorie des croyances

Published: November 01, 2022

Presentation on categorizing data imperfections for object matching in wastewater networks using belief theory, addressing challenges in handling uncertain and imperfect spatial data.

Wastewater Networks: Presentation of Multi-Source Data

Published: June 20, 2023

Discussion on challenges in wastewater network data integration due to separate GIS databases. Proposal of a graph-based representation to improve connectivity modeling and data fusion for better network analysis.

A Graph-Based Approach for Representing Wastewater Networks from GIS Data: Ensuring Connectivity and Consistency

Published: November 01, 2023

Conference presentation on developing a graph-based methodology to transform GIS wastewater network data into connected network structures, validated on real-world datasets.

Wastewater Networks: Heterogeneous Data and Graphical Representation

Published: October 03, 2024

Presentation of a graph-based approach for wastewater network representation, addressing the limitations of traditional GIS models. This method enhances connectivity visualization by modeling network components as nodes and pipes as edges, resolving common connectivity issues in shapefile-based storage systems.

Graphs as Tools for Wastewater Network Representation: Benefits and Insights

Published: April 27, 2025

Presentation on the benefits and insights of using graph-based approaches for wastewater network representation, addressing connectivity challenges in traditional GIS models.

Possibilistic Conditioning and Graph-Based Representation of Wastewater Networks

Published: October 02, 2025

Overview of my PhD research covering possibilistic conditioning theory and its application to graph-based wastewater network representation, addressing both theoretical foundations and practical implementations.

Omar ET-TARGUY

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