KELLOU-MENOUER Kenza

Découverte de schéma pour les données du Web Sémantique;

Data mining, recommandation et prédiction : Apprentissage automatique non supervisé (Clustering), Apprentissage automatique supervisé (Classification) et Règles d'association;

Optimisation de la recherche et Big Data

Web Sémantique : RDF(S)/OWL, SPARQL, Protégé, etc;

Conception et analyse de bases de données : UML, SQL, Oracle, SQL Developer, PostgreSQL, SQL Server, EasyPHP, WampServer;

Data mining, recommandation et prédiction : Apprentissage automatique non supervisé (Clustering), Apprentissage automatique supervisé (Classification) et Règles d'association;

Algorithmique et Structures de Données;

Programmation Orientée Objets : Java, C++, C#;

Autre langages de programmation : C

Organization d'un tutorial sur la thématique de ma thèse de doctorat (découverte de schéma pour les données du Web Sémantique) : Tutorial on Semantic Schema Discovery. The 21st International Semantic Web Conference (ISWC) 2022

Publications avec acte et comité de lecture

[1] K. Kellou-Menouer, N. Kardoulakis, G. Troullinou, Z. Kedad, D. Plexousakis and H
Kondylakis. A Survey on Semantic Schema Discovery. Very Large Data Base Journal (VLDB
Journal) 2022;

2] K. Kellou-Menouer, N. Kardoulakis, G. Troullinou, Z. Kedad, D. Plexousakis and H
Kondylakis. Tutorial on Semantic Schema Discovery. The 21st International Semantic Web
Conference (ISWC) 2022;

[3] N. Kardoulakis, K. Kellou-Menouer, G. Troullinou, Z. Kedad, D. Plexousakis and H
Kondylakis. Demo on Hybrid and Incremental Type Discovery for Large RDF Data Sources.
The 21st International Semantic Web Conference (ISWC) 2022;

[4] N. Kardoulakis, K. Kellou-Menouer, G. Troullinou, Z. Kedad, D. Plexousakis and H
Kondylakis. HInT : Hybrid and Incremental Type Discovery for Large RDF Data Sources. The
33rd International Conference on Scientic and Statistical Database Management (SSDBM)
2021;

[5] K. Kellou-Menouer and Z. Kedad. SchemaDecrypt++ : Parallel On-line Versioned Schema
Inference for Large Semantic Web Data Sources. Information Systems Journal, 2020;

[6] R. Bouhamoum, K. Kellou-Menouer, Z. Kedad and Stéphane Lopes. Scaling Up Schema
Discovery for RDF Datasets. 9th workshop on Data Engineering meets the Semantic Web
(DESWeb) in conjunction with 34th International Conference on Data Engineering, ICDE,
2018;

[7] K. Kellou-Menouer, Z. Kedad. On-line Versioned Schema Inference for Large Semantic
Web Data Sources. 29th International Conference on Scientic and Statistical Database
Management, SSDBM, 1-12, 2017;

[8] K. Kellou-Menouer and Z. Kedad. A Self-Adaptive and Incremental Approach for Data
Proling in the Semantic Web. International Journal for Transactions on Large-Scale Data
and Knowledge-Centered Systems, TLDKS, 108-133, 2016;

[9] K. Kellou-Menouer and Z. Kedad. Class Annotation Using Linked Open Data. OTM
Conferences, 709-726, 2016;

[10] K. Kellou-Menouer and Z. Kedad. Schema Discovery in RDF Data Sources. International
Conference on Conceptual Modeling, ER, 481-495, 2015;

[11] K. Kellou-Menouer and Z. Kedad. Evaluating the Gap between a Dataset and Its Schema.
Workshop Quality of Models and Models of Quality in conjunction with the International
Conference on Conceptual Modeling (ER), QMMQ, 283-292, 2015;

[12] K. Kellou-Menouer and Z. Kedad. Discovering Types in RDF Datasets. Extended Semantic
Web Conference, ESWC, 77-81, 2015;

[13] K. Kellou-Menouer and Z. Kedad. A Clustering Based Approach for Type discovery in
RDF Data Sources. Conférence internationale sur l'extraction et la gestion des connaissances,
EGC, 471-472, 2015;

[14] K. Kellou-Menouer and Z. Kedad. Using Clustering for Type Discovery in the Semantic
Web. Workshop Fouille de Données Complexes, FDC, 2015
*Very Large Data Base Journal (VLDBJ), Information Systems Journal et la conférence ICDE
sont classés A* ; SSDBM, ER et ESWC sont des conférences classées A. (CORE Conference
Ranking)

Stages courts de recherche;

PFE/Master Thesis