Ingénierie des systèmes d’information et de décision

Ingénierie des systèmes d’information et de décision

Les travaux menés au sein de l’équipe ISID sont centrés sur le thème fédérateur de l’ingénierie des systèmes d’information et de décision. L’enjeu scientifique est de concevoir des modèles, des méthodes, des techniques et des outils pour l’analyse et la conception des systèmes d’information et de décision, applicables par toutes les organisations confrontées à cette problématique. Les activités de l’équipe sont structurées autour de trois axes :

  • Les systèmes décisionnels,
  • le web sémantique,
  • la qualité des systèmes d’information.

Les membres de l’équipe ISID sont reconnus et ont une longue expérience dans le domaine des systèmes d’information. Ils ont contribué aux méthodes et outils actuellement couramment utilisés dans ce domaine et ont rédigé plusieurs ouvrages. En particulier, ils ont introduit des techniques d’intelligence artificielle pour automatiser des tâches jusque là laissées à la charge du concepteur. Ils ont aussi été précurseurs dans l’élaboration de méthodes de conception de systèmes d’information décisionnels, et plus particulièrement des entrepôts de données. Ils ont mis l’accent sur le développement de techniques de conception avancée des bases de données, telles l’intégration, la classification, la rétro-conception. Ils sont également présents dans les comités des principales conférences et revues académiques du domaine.

La maturité des techniques de conception de systèmes d’information et le consensus sur un ensemble d’étapes et principes à respecter sont notoires. Les recherches s’orientent désormais vers des problèmes dits de conception avancée. Ces techniques permettent des améliorations locales ou globales de la conception des systèmes d’information.

Annuaire de l'équipe

Responsable

Permanents

Non Permanents

Anciens membres

Conférences et revues avec comité de lecture

2024

Articles de conférence

  1. Benramdane, M. K.; Kornyshova, E.; Ruelle, S. and Vidal, C. Employee eXperience Representation for Personalization within Digital Business Ecosystems. In 39th ACM/SIGAPP Symposium on Applied Computing, pages 698-700, ACM, Avila, Spain, 2024. doi  www 

2023

Articles de revue

  1. Benramdane, M. K.; Kornyshova, E.; Bouzefrane, S. and Maupas, H. Supervised Machine Learning for Matchmaking in Digital Business Ecosystems and Platforms. In Information Systems Frontiers, 2023. doi  www 

Articles de conférence

  1. Kornyshova, E.; Boutal, L. and Benramdane, M. K. Digital Business Ecosystems: Organizational Model, Roles, and Governance Towards Flexibility. In International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2023), pages 4621-4630, Athens, Greece, 2023. doi  www 

2022

Articles de revue

  1. Metais, E.; Meziane, F.; Horacek, H. and Cimiano, P. Application of Natural Language Processing to Information Systems. In Data and Knowledge Engineering, 138 (138): 101994, 2022. doi  www 
  1. Neji, M.; Ghorbel, F.; Gargouri, B.; Mimouni, N. and Metais, E. An Ontology based Smart Management of Linguistic Knowledge. In Journal of Data Mining and Digital Humanities, 23 (2), 2022. doi  www 
  1. Achich, N.; Ghorbel, F.; Ammar Bouhamed, S.; Hamdi, F. c.; Metais, E.; Gargouri, F.; Kharfia, H. and Gargouri, B. An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2. In New Generation Computing, 2022. doi  www 
  1. Souibgui, M.; Atigui, F.; Ben Yahia, S. and Si-Said Cherfi, S. An embedding driven approach to automatically detect identifiers and references in document stores. In Data and Knowledge Engineering, 139: 102003, 2022. doi  www 
  1. Neji, M.; Ghorbel, F.; Gargouri, B.; Mimouni, N. and Metais, E. A Semantic and Smart Framework for Handling Multilingual Linguistic Knowledge: A Framework and Case Implementation. In International Journal of Information Technology and Web Engineering, 17 (1), 2022. doi  www 
  1. Hannou, F-Z.; Rihany, M.; Lammari, N.; Hamdi, F.; Mimouni, N.; Atigui, F.; Si-Said Cherfi, S. and Tourron, P. Semantic-Based Approach for Cyber-Physical Cascading Effects Within Healthcare Infrastructures. In IEEE Access, 10: 53398-53417, 2022. doi  www 

Articles de conférence

  1. Achich, N.; Ghorbel, F.; Gargouri, B.; Hamdi, F. c.; Metais, E. and Gargouri, F. Handling Temporal Data Imperfections in OWL 2 - Application to Collective Memory Data Entries. In RCIS'22, Barcelona, Spain, 2022. doi  www 
  1. Kornyshova, E. and Deneckère, R. A Proposal of a Situational Approach for Enterprise Architecture Frameworks: Application to TOGAF. In International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022), pages 3499-3506, Elsevier, Verona, Italy, 2022. doi  www 
  1. Prat, N.; Akoka, J.; Comyn-Wattiau, I. and Storey, V. A Granular View of Knowledge Development in Design Science Research. In DESRIST2022 : The Transdisciplinary Reach of Design Science Research, pages 363-375, Springer International Publishing, St Petersburg (Florida), United States, Lecture Notes in Computer Science 13229, 2022. doi  www 
  1. Kornyshova, E. and Gressier-Soudan, E. Conceptual Model of User Experience for Personalization. In 19th European Mediterranean & Middle Eastern Conference on Information Systems (EMCIS 2022), Online, Dubai, United Arab Emirates, 2022. www 
  1. Kouadri, W. M.; Akoka, J.; Comyn-Wattiau, I. and du Mouza, C. Uncertainty detection in~historical databases. In NLDB 2022 : 27th International Conference on Applications of Natural Language to Information Systems, pages 73-85, Springer International Publishing, Valencia, Spain, Lecture Notes in Computer Science Lecture Notes in Computer Science, volume 13286, 2022. doi  www 
  1. Elali, R.; Kornyshova, E.; Deneckere, R. and Salinesi, C. Mining Contextual Process Models Using Sensors Data: a Case of Daily Activities in Smart Home. In 19th European Mediterranean & Middle Eastern Conference on Information Systems (EMCIS 2022), Online, Dubai, United Arab Emirates, 2022. www 
  1. Mali, J.; Ahvar, S.; Atigui, F.; Azough, A. and Travers, N. A Global Model-Driven Denormalization Approach for Schema Migration. In RCIS, pages 529-545, Barcelona, Spain, Lecture Notes in Business Information Processing 446, 2022. doi  www 
  1. Kornyshova, E.; Deneckere, R.; Sadouki, K.; Gressier-Soudan, E. and Brinkkemper, S. Smart Life: Review of the Contemporary Smart Applications. In 16th International Conference on Research Challenges in Information Science (RCIS 2022), Springer, Barcelona, Spain, 2022. doi  www 

2021

Articles de revue

  1. Pandey, A. and Banerjee, S. Test Data Generation and Selection Using Levy Flight-Based Firefly Algorithm. In International Journal of Software Innovation, 9 (2): 18-34, 2021. doi  www 
  1. Grossetti, Q.; Du Mouza, C.; Travers, N. and Constantin, C. Reducing the filter bubble effect on Twitter by considering communities for recommendations. In International Journal of Web Information Systems, 17 (6): 728-752, 2021. doi  www 
  1. Fadili, H. Towards a New Approach for Building Trust and Confidence in Machine Learning Data and Models: Based on an Integration of Artificial Intelligence and Blockchain (Part 1). In Journal of Applied Business and Economics, 22 (9), 2021. doi  www 
  1. Alves, A.; Brousseau, E.; Mimouni, N. and Yeung, T. Y-C. Competing for policy: Lobbying in the EU wholesale roaming regulation. In Telecommunications Policy, 45 (3): 102087, 2021. doi  www 
  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Métais, E. and Gargouri, F. Certain and Uncertain Temporal Data Representation and Reasoning in OWL 2. In International Journal on Semantic Web and Information Systems, 17 (3): 51-72, 2021. doi  www 
  1. Akoka, J.; Comyn-Wattiau, I.; Lamassé, S. and Du Mouza, C. Conceptual modeling of prosopographic databases integrating quality dimensions. In Journal of Data Mining and Digital Humanities, Special Issue on Data Science and Digital Humanities @ EGC 2018, 2021. doi  www 
  1. Issa, S.; Adekunle, O.; Hamdi, F. c.; Sisaid-Cherfi, S.; Dumontier, M. and Zaveri, A. Knowledge Graph Completeness: A Systematic Literature Review. In IEEE Access, 9: 31322-31339, 2021. doi  www 

Articles de conférence

  1. Akoka, J.; Comyn-Wattiau, I.; Du Mouza, C. and Prat, N. Mapping multidimensional schemas to property graph models. In ER 2021 40th International Conference on Conceptual Modeling, pages 3-14, Springer International Publishing, St. John's, NL, Canada, Lecture Notes in Computer Science 13012, 2021. doi  www 
  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Metais, E. and Gargouri, F. Dealing with Uncertain and Imprecise Time Intervals in OWL2: A Possibility Theory-Based Approach. In International Conference on Research Challenges in Information Science, Limassol, Cyprus, 2021. doi  www 
  1. Debure, J.; Brunesseaux, S.; Constantin, C. and Du Mouza, C. An Interaction Profile-based Classification for Twitter Users. In International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA) 2021, pages 21-25, Valence, Spain, 2021. www 
  1. Rihany, M.; Hannou, F-Z.; Mimouni, N.; Hamdi, F. c.; Tourron, P. and Julien, P-A. A Semantic-Based Approach for Assessing the Impact of Cyber-Physical Attacks: A~Healthcare Infrastructure Use Case. In Graph-Based Representation and Reasoning - 26th International Conference on Conceptual Structures, ICCS, pages 208-215, Springer International Publishing, Virtual event, France, Lecture Notes in Computer Science 12879, 2021. doi  www 
  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Metais, E. and Gargouri, F. Handling Uncertain Time Intervals in Owl 2: Possibility Vs Probability Theories based Approaches. In FUZZ-IEEE 2021, Luxemburg, Luxembourg, 2021. doi  www 
  1. Kornyshova, E. and Gressier-Soudan, E. Introducing Sentient Requirements for Information Systems and Digital Technologies. In 18th European Mediterranean & Middle Eastern Conference on Information Systems (EMCIS 2021), pages 384-395, Springer, Dubai, United Arab Emirates, Lecture Notes in Business Information Processing, vol. 437 , 2021. doi  www 
  1. Souibgui, M.; Atigui, F.; Ben Yahia, S. and Si-Said Cherfi, S. IRIS-DS: A New Approach for Identifiers and References Discovery in Document Stores. In 54th Hawaii International Conference on System Sciences (HICSS 2021), pages 970-979, HICSS, Hawaii, United States, Big Data and Analytics: Pathways to Maturity , 2021. doi  www 
  1. Déneckère, R.; Kornyshova, E. and Hug, C. A Framework for Comparative Analysis of Intention Mining Approaches. In International Conference on Research Challenges in Information Science (RCIS), pages 20-37, Springer, Limassol, Cyprus, Research Challenges in Information Science. RCIS 2021. Lecture Notes in Business Information Processing, vol 415 , 2021. doi  www 
  1. Hannou, F-Z.; Atigui, F.; Lammari, N. and Sisaid-Cherfi, S. SafecareOnto: A Cyber-Physical Security Ontology for Healthcare Systems. In International Conference, DEXA 2021, pages 22-34, Springer International Publishing, Virtual, Austria, Lecture Notes in Computer Science 12924, 2021. doi  www 

2020

Articles de revue

  1. Ghorbel, F.; Hamdi, F. c.; Achich, N. and Metais, E. Handling data imperfection-False data inputs in applications for Alzheimer's patients. In Data and Knowledge Engineering, 131: 101864, 2020. doi  www 
  1. Ghorbel, F.; Hamdi, F. c. and Metais, E. Dealing with Precise and Imprecise Temporal Data in Crisp Ontology. In International Journal of Information Technology and Web Engineering, 15 (2): 30-49, 2020. doi  www 
  1. Dupuis, D.; Du Mouza, C.; Travers, N. and Chareyron, G. Real-Time Influence Maximization in a RTB Setting. In Data Science and Engineering, 5 (3): 224-239, 2020. doi  www 
  1. Mimouni, N.; Moissinac, J-C. and Tuan, A. Domain Specific Knowledge Graph Embedding for Analogical Link Discovery. In International Journal On Advances in Intelligent Systems, 2020. www 
  1. Silberztein, M.; Metais, E.; Meziane, F. and Atigui, F. Preface of the Data & Knowledge Engineering special issue following NLDB'18. In Data and Knowledge Engineering (127): 101775, 2020. doi  www 
  1. Akoka, J.; Comyn-Wattiau, I. and Du Mouza, C. Conception de Bases de Données Prosopographiques en Histoire - Un 'Etat de l'Art. In Revue ouverte d'ingénierie des systèmes d'information, 1 (3): 1-19, 2020. doi  www 

Articles de conférence

  1. Neji, M.; Ghorbel, F.; Gargouri, B.; Mimouni, N. and Metais, E. A Multilingual Linguistic Domain Ontology. In The 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34), Hanoi, Vietnam, 2020. www 
  1. Paris, P-H.; Hamdi, F. c. and Cherfi, S. S-S. OntoSemStats: An Ontology to Express the Use of Semantics in RDF-Based Knowledge Graphs. In Web Engineering - 20th International Conference, ICWE 2020, pages 561-565, Springer, Helsinki, Finland, 2020. doi  www 
  1. Kornyshova, E. and Barrios, J. Industry 4.0 Impact Propagation on Enterprise Architecture Models. In 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2020), pages 2497-2506, Elsevier, Verona, Italy, 2020. doi  www 
  1. Akoka, J.; Comyn-Wattiau, I.; Lamassé, S. and Du Mouza, C. Contribution of conceptual modeling to enhancing historians' intuition : application to prosopography. In ER 2020 : 39th International Conference on Conceptual Modeling, pages 164-173, Springer, Vienne, Austria, ER 2020: Conceptual Modeling , 2020. doi  www 
  1. Mali, J.; Atigui, F.; Azough, A. and Travers, N. ModelDrivenGuide: An Approach for Implementing NoSQL Schemas. In International Conference, DEXA 2020, pages 141-151, Springer, Bratislava, Slovakia, DEXA 2020: Database and Expert Systems Applications , 2020. doi  www 
  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Metais, E. and Gargouri, F. Approach to Reasoning about Uncertain Temporal Data in OWL 2. In 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES), pages 1141-1150, Elsevier, Verona, Italy, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020 176, 2020. doi  www 
  1. Debure, J.; Brunessaux, S.; Constantin, C. and Du Mouza, C. A pattern-based Approach for an Early Detection of Popular Twitter Accounts. In International Database Engineering & Applications Symposium (IDEAS), Séoul, France, 2020. doi  www 

2019

Articles de revue

  1. Ghorbel, F.; Hamdi, F. c.; Metais, E.; Ellouze, N. and Gargouri, F. Ontology-Based Representation and Reasoning about Precise and Imprecise Temporal Data: a Fuzzy-Based View~. In Data and Knowledge Engineering, 124: 101719, 2019. doi  www 

Articles de conférence

  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Metais, E. and Gargouri, F. A Typology of Temporal Data Imperfection. In 11th International Conference on Knowledge Engineering and Ontology Development (KEOD 2019), pages 305-311, SciTePress - Science and Technology Publications, Vienna, Austria, 2019. doi  www 
  1. Souibgui, M.; Atigui, F.; Zammali, S.; Si-Said Cherfi, S. and Yahia, S. B. Data quality in ETL process: A preliminary study. In 23rd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, pages 676-687, Elsevier, Budapest, Hungary, 2019. doi  www 
  1. Kornyshova, E. and Barrios, J. Exploring the Impact produced by the Industry 4.0 on Enterprise Architecture Models. In Research Challenges in Information Science, pages 1-6, IEEE, Brussels, Belgium, 2019. doi  www 
  1. Paris, P-H.; Hamdi, F. c. and Cherfi, S. S-S. Interlinking RDF-based datasets: A structure-based approach. In 23rd International Conference KES-2019, pages 162-171, Elsevier, Budapest, Hungary, 2019. doi  www 
  1. Wali, W.; Ghorbel, F.; Gargouri, B.; Hamdi, F. c. and Metais, E. A Multilingual Semantic Similarity-Based Approach for Question-Answering Systems. In International Conference on Knowledge Science, Engineering and Management KSEM 2019, Springer, Athènes, Greece, 2019. doi  www 
  1. Ghorbel, F.; Wali, W.; Metais, E.; Hamdi, F. c. and Gargouri, B. A Smart Search Functionality for a Memory Prosthesis: A Semantic Similarity-Based Approach. In International Conference on Digital Health Technologies (ICDHT 2019), Hammamet, Tunisia, 2019. www 
  1. Grossetti, Q.; Du Mouza, C. and Travers, N. Community-based Recommendations on Twitter: Avoiding The Filter Bubble. In Web Information Systems Engineering -- WISE 2019, Hong-Kong, China, 2019. doi  www 
  1. Comyn-Wattiau, I. and Akoka, J. Query-based reverse engineering of graph databases : from program to model. In M2P@ADBIS 2019, pages 188-197, Springer, Bled, Slovenia, 2019. doi  www 
  1. Issa, S.; Paris, P-H.; Hamdi, F. c. and Si-Said Cherfi, S. Revealing the Conceptual Schemas of RDF Datasets. In 31st International Conference, CAiSE 2019, pages 312-327, Springer, Rome, Italy, 2019. doi  www 
  1. Ghorbel, F.; Hamdi, F. c. and Metais, E. Temporal Relations Between Imprecise Time Intervals: Representation and Reasoning. In ICCS 2019 International Conference on Conceptual Structures, Springer, Marburg, Germany, 2019. doi  www 
  1. Achich, N.; Ghorbel, F.; Hamdi, F. c.; Metais, E. and Gargouri, F. Representing and Reasoning About Precise and Imprecise Time Points and Intervals in Semantic Web: Dealing with Dates and Time Clocks. In International Conference on Database and Expert Systems Applications (DEXA 2019), Springer, Linz, Austria, Database and Expert Systems Applications 30th International Conference, DEXA 2019, Linz, Austria, August 26--29, 2019, Proceedings, Part II , 2019. doi  www 
  1. Akoka, J.; Comyn-Wattiau, I.; Lamassé, S. and Du Mouza, C. Modeling historical social networks databases. In Hawaii International Conference on System Sciences, pages 2772-2781, Hawaii, United States, 2019. www 
  1. Ghorbel, F.; Hamdi, F. c. and Metais, E. Ontology-Based Representation and Reasoning about Precise and Imprecise Time Intervals. In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pages 1-8, IEEE, New Orleans, United States, 2019. doi  www 
  1. Ghorbel, F.; Wali, W.; Hamdi, F. c.; Metais, E. and Gargouri, B. Visualizing Readable Instance Graphs of Ontology with Memo Graph. In ICONIP 2019. International Conference on Neural Information Processing, pages 127-139, Springer, Sydney, Australia, 2019. doi  www 
  1. Lammari, N.; Legrand, V.; Jaramillo Rojas, G. E. and Atig, O. An Ontology for cyber incident root cause analysis from event logs. In 34th IBIMA Conference, Madrid, Spain, 2019. www 
  1. Issa, S.; Hamdi, F. c. and Si-Said Cherfi, S. Enhancing the Conciseness of Linked Data by Discovering Synonym Predicates. In Knowledge Science, Engineering and Management (KSEM), pages 739-750, Springer International Publishing, Athens, Greece, 2019. doi  www 
  1. Dupuis, D.; Du Mouza, C.; Travers, N. and Chareyron, G. RTIM: a Real-Time Influence Maximization Strategy. In Web Information Systems Engineering -- WISE 2019, Hong-Kong, China, 2019. doi  www 

2018

Articles de revue

  1. Metais, E.; Ghorbel, F.; Hamdi, F. c.; Ellouze, N.; Herradi, N. and Soukane, A. Representing Imprecise Time Intervals in OWL 2. In Enterprise Modelling and Information Systems Architectures, 13, 2018. doi  www 
  1. Akoka, J. and Comyn-Wattiau, I. Roundtrip engineering of NoSQL databases. In Enterprise Modelling and Information Systems Architectures, 13: 281-292, 2018. doi  www 
  1. Pozo, M.; Chiky, R.; Meziane, F. and Metais, E. Exploiting Past Users' Interests and Predictions in an Active Learning Method for Dealing with Cold Start in Recommender Systems. In Informatics, 5 (3): 35, 2018. doi  www 

Articles de conférence

  1. Dia, A. F.; Ulbricht Togbe, M.; Boly, A.; Kasi-Aoul, Z. and Metais, E. Efficient Graph-Oriented Summary for Optimized Resource Description Framework Streams Processing Using Extended Centrality Measures. In ICDM 2018 : 20th International Conference on Data Mining, pages 1430-1441, Istamboul, Turkey, 2018. www 
  1. Ben Fredj, F.; Lammari, N. and Comyn-Wattiau, I. Relational Database Anonymization - A Model-driven Guiding Approach. In 4th International Conference on Information Systems Security and Privacy, pages 161-170, Scitepress. Science and Technology Publications, Funchal, France, 2018. doi  www 
  1. Chaaya, G.; Abdo, J. B.; Demerjian, J.; Chiky, R.; Metais, E. and Barbar, K. An improved non-personalized combined-heuristic strategy for collaborative filtering recommender systems. In 2018 IEEE Middle East and North Africa Communications Conference (MENACOMM), pages 1-6, IEEE, Jounieh, Lebanon, 2018. doi  www 
  1. Ghorbel, F.; Hamdi, F. c.; Metais, E.; Ellouze, N. and Gargouri, F. A Fuzzy-Based Approach for Representing and Reasoning on Imprecise Time Intervals in Fuzzy-OWL 2 Ontology. In 23rd International Conference on Applications of Natural Language to Information Systems. NLDB 2018, Springer, Paris, France, Lecture Notes in Computer Science 10859, 2018. doi  www 
  1. Chaaya, G.; Abou Abdo, J.; Metais, E.; Chiky, R.; Demerjian, J. and Barbar, K. Comparison of the Non-Personalized Active Learning Strategies Used in Recommender Systems. In European, Mediterranean, and Middle Eastern Conference on Information Systems EMCIS 2018: Information Systems, pages 443-456, Springer, Limassol, Cyprus, EMCIS 2018: Information Systems , 2018. doi  www 
  1. Ghorbel, F.; Metais, E. and Hamdi, F. c. A Crisp-Based Approach for Representing and Reasoning on Imprecise Time Intervals in OWL 2. In ISDA 2018 2018: Intelligent Systems Design and Applications, Springer, Vellore, India, Advances in Intelligent Systems and Computing 941, 2018. doi  www 
  1. Dia, A. F.; Aoul, Z. K.; Boly, A. and Metais, E. Fast SPARQL join processing between distributed streams and stored RDF graphs using bloom filters. In 2018 12th International Conference on Research Challenges in Information Science (RCIS), pages 1-12, IEEE, Nantes, France, 2018. doi  www 
  1. Grossetti, Q.; Constantin, C.; Du Mouza, C. and Travers, N. An Homophily-based Approach for Fast Post Recommendation in Microblogging Systems. In 21st International Conference on Extending Database Technology (EDBT 2018), pages 229-240, Vienne, Austria, 2018. doi  www 

2017

Articles de revue

  1. Constantin, C.; Li, Y. and Du Mouza, C. Un partitionnement d'arêtes `a base de blocs pour les algorithmes de marches aléatoires dans les grands graphes sociaux. In Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 22 (3): 89-113, 2017. doi  www 
  1. Paris, P-H.; Abadie, N. and Brando, C. Linking Spatial Named Entities to the Web of Data for Geographical Analysis of Historical Texts. In Journal of Map and Geography Libraries, 13 (1): 82-110, 2017. doi  www 
  1. Kornyshova, E.; Deneckere, R. and Iacovelli, A. Intégration progressive de composants des méthodes agiles : Retour déxpérience. In Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 22 (2): 9-13, 2017. doi  www 

Articles de conférence

  1. A"it Brahim, A.; Abdelhedi, F.; Zurfluh, G. and Atigui, F. Modeling Framework for NoSQL Systems. In 20th Ibero-american Conference on Software Engineering (CIbSE 2017) co-located with ICSE 2017, Buenos Aires, Argentina, 2017. www 
  1. Ghorbel, F.; Hamdi, F. c.; Ellouze, N.; Metais, E. and Gargouri, F. Visualizing Large-scale Linked Data with Memo Graph. In 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017), pages 854-863, Elsevier, Marseille, France, Procedia Computer Science 112, 2017, 2017. doi  www 
  1. Li, Y.; Constantin, C. and Du Mouza, C. SGVCut: A Vertex-Cut Partitioning Tool for RandomWalks-based Computations over Social Network graphs. In International Conference on Scientific and Statistical Database Management, SSDBM, pages 39:1-39:4, Chicago, United States, 2017. doi  www 
  1. Dia, A. F.; Kasi-Aoul, Z.; Boly, A. and Metais, E. DRSS: Distributed RDF SPARQL Streaming. In SERA 2017, Springer, London, United Kingdom, Studies in Computational Intelligence 722, 2017. doi  www 
  1. Ghorbel, F.; Metais, E.; Ellouze, N.; Hamdi, F. c. and Gargouri, F. Towards Accessibility Guidelines of Interaction and User Interface Design for Alzheimer's Disease Patients. In ACHI 2017. The Tenth International Conference on Advances in Computer-Human Interactions, pages 143-149, IARIA, Nice, France, 2017. www 
  1. Si-Said Cherfi, S.; Hamdi, F. c.; Rigaux, P.; Thion, V. and Travers, N. Formalizing quality rules on music notation. An ontology-based approach. In International Conference on Technologies for Music Notation and Representation - TENOR'17, Coruna, Spain, 2017. www 
  1. Chaaya, G.; Metais, E.; Abdo, J. B.; Chiky, R.; Demerjian, J. and Barbar, K. Evaluating Non-Personalized Single-Heuristic Active Learning Strategies for Collaborative Filtering Recommender Systems. In 16th IEEE International Conference on Machine Learning and Applications (ICMLA 2017), pages 593-600, IEEE, Cancun, Mexico, 2017. doi  www 
  1. Pozo, M.; Chiky, R.; Meziane, F. and Metais, E. Enhancing New User Cold-Start based on Decision Trees Active Learning by Using Past Warm-Users Predictions. In ICCI 2017 (9th International Conference on Computational Collective Intelligence), pages 137-147, Springer, Nicosia, Cyprus, Lecture Notes in Computer Science 10448, 2017. doi  www 
  1. Fadili, H. and Ouguenoun, A. Une approche de conception collaborative et déxploitation des modèles ontologiques des données, facilement extensibles et compatibles avec le Web des Données Ouvertes (LOD) pour les Humanités Numériques (DH). In Digital Humanities (DH), Montréal, Canada, 2017. www 
  1. Cherfi, S. S-S.; Guillotel, C.; Hamdi, F. c.; Rigaux, P. and Travers, N. Ontology-Based Annotation of Music Scores. In Knowledge Capture Conference, pages 1-4, ACM Press, Austin, France, 2017. doi  www 
  1. Herradi, N.; Hamdi, F. and Metais, E. A Semantic Representation of Time Intervals in OWL2. In KEOD 2017 Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge, pages 269-275, Madeira, Portugal, 2017. doi  www 
  1. Ghorbel, F.; Ellouze, N.; Metais, E.; Hamdi, F. c. and Gargouri, F. MEMO_Calendring: a Smart Reminder for Alzheimer's Disease Patients. In SM2C 2017 : International Conference on Smart, Monitored and Controlled Cities, pages 41-47, IEEE, Sfax, Tunisia, 2017. doi  www 
  1. Feliachi, A.; Abadie, N. and Hamdi, F. c. An Adaptive Approach for Interlinking Georeferenced Data. In Knowledge Capture Conference, K-CAP, pages 1-8, ACM Press, Austin, United States, 2017. doi  www 

Actions de diffusion scientifique

2023

Chapitres d'ouvrage

  1. Benramdane, M. K.; Bouzefrane, S.; Banerjee, S.; Maupas, H. and Kornyshova, E. Hybrid Machine Learning for Matchmaking in Digital Business Ecosystems. In Encyclopedia of Data Science and Machine Learning, pages 2817-2838, IGI Global, 2023. doi  www 

2022

Chapitres d'ouvrage

  1. Fadili, H. A new approach of texts & writing normalization for Arabic knowledge organization. In Systems and Uses of Digital Sciences for Knowledge Organization, Wiley, 2022. doi  www 
  1. Akoka, J. COVID-19 : Qualité des données et données de qualité. In Crise de la connaissance et connaissance de la crise. Les points de vue du Conservatoire national des arts et métier, pages 23-31, EMS Editions, 2022. doi  www 

Articles de conférence

  1. Elali, R.; Kornyshova, E.; Deneckere, R. and Salinesi, C. Domain Ontology Construction with Activity Logs and Sensors Data -- Case Study of Smart Home Activities. In 2nd International Workshop on Information Systems Engineering for Smarter Life (ISESL) 2022, CAiSE Workshop, Leuven, Belgium, 2022. www 
  1. Kornyshova, E.; Deneckere, R.; Gressier-Soudan, E.; Murray, J. and Brinkkemper, S. From Smart Life to Smart Life Engineering: a Systematic Mapping Study and Research Agenda. In 15th International Baltic Conference on Digital Business and Intelligent Systems (DB&IS), Springer, Riga, Latvia, 2022. doi  www 

2021

Chapitres d'ouvrage

  1. Kornyshova, E. and Barrios, J. Small and Medium-Sized Enterprises and the Industry 4.0 Transformation in France. In Industry 4.0 in SMEs Across the Globe: Drivers, Barriers, and Opportunities, CRC Press, 2021. www 

Articles de conférence

  1. Hannou, F-Z.; Atigui, F.; Lammari, N. and Si-Said Cherfi, S. Modelling Cyber-Physical Security in Healthcare Systems. In CAiSE Forum 2021, pages 100-108, Springer International Publishing, Melbourne, Australia, Lecture Notes in Business Information Processing 424, 2021. doi  www 
  1. Benramdane, M. K.; Maupas, H.; Kornyshova, E. and Banerjee, S. Business Recommender System through Matchmaking with Supervised Machine Learning in Distributed Digital Platforms: Energy Complexity Analysis. In 8th International Conference on Future Internet of Things and Cloud (FiCloud), pp. 372-376, Rome, Italy, 2021. doi  www 

2020

Chapitres d'ouvrage

  1. Maia, E.; Prac ca, I.; Mantzana, V.; Gkotsis, I.; Petrucci, P.; Biasin, E.; Kamenjasevic, E. and Lammari, N. Security Challenges for the Critical Infrastructures of the Healthcare Sector. In Cyber-Physical Threat Intelligence for Critical Infrastructures Security: A Guide to Integrated Cyber-Physical Protection of Modern Critical Infrastructures, Now Publishers, 2020. doi  www 
  1. Atigui, F.; Hamdi, F. c.; Lammari, N. and Cherfi, S. S-S. Cyber-Physical Threat Intelligence for Critical Infrastructures Security. In Cyber-Physical Threat Intelligence for Critical Infrastructures Security: A Guide to Integrated Cyber-Physical Protection of Modern Critical Infrastructures, Now Publishers, 2020. doi  www 

Articles de conférence

  1. Achich, N. Dealing with Data Imperfection in OWL 2 - Application to Alzheimer's Patients. In The 19th International Semantic Web Conference (ISWC) Doctoral Consortuim, pages http://ceur-ws.org/Vol-2798/paper5.pdf, Athens, Greece, 2020. www 
  1. Paris, P-H.; Hamdi, F. c. and Si-Said Cherfi, S. A Study About the Use of OWL 2 Semantics in RDF-Based Knowledge Graphs. In The Semantic Web: ESWC 2020 Satellite Events, pages 181-185, Heraklion, Greece, 2020. doi  www 
  1. Akoka, J.; Comyn-Wattiau, I. and Du Mouza, C. 'Evaluer la crédibilité des sources historiques. In Atelier EGC DAHLIA, Bruxelles, France, 2020. www 
  1. Atigui, F.; Hamdi, F. c.; Hannou, F-Z.; Lammari, N.; Mimouni, N. and Si-Said, S. Managing Cyber-physical Incidents Propagation in Health Services. In Research Challenges in Information Science: RCIS 2020, Springer, Limassol, Cyprus, Research Challenges in Information Science 14th International Conference, RCIS 2020, Limassol, Cyprus, September 23--25, 2020, Proceedings , 2020. www 

Divers

  1. Souibgui, M.; Atigui, F.; Yahia, S. B. and Si-Said Cherfi, S. Business Intelligence and Analytics: On-demand ETL over Document Stores. , Poster. doi  www 

Actes de colloque

  1. Metais, E.; Meziane, F.; Horacek, H. and Cimiano, P. Natural Language Processing and Information Systems. Springer, Saarbr"ucken, Germany, 2020. www 

2019

Articles de conférence

  1. Akoka, J.; Comyn-Wattiau, I.; Du Mouza, C. and Prat, N. Design science research for the humanities. The case of prosopography. In International Conference on Design Science Research in Information Systems and Technology, pages 239-253, Springer, Worcester, United States, 2019. doi  www 
  1. Akoka, J. and Comyn-Wattiau, I. Evaluation of Big Data governance : combining a multi-criteria approach and systems theory. In IEEE World Congress on Services 2019, pages 398-399, IEEE, Milan, Italy, 2019. doi  www 
  1. Ghorbel, F.; Metais, E. and Hamdi, F. c. Estimating the Believability of Uncertain Data Inputs in Applications for Alzheimer's Disease Patients. In Natural Language Processing and Information Systems, pages 208-219, Springer, Salford, United Kingdom, 2019. doi  www 
  1. Constantin, C.; Du Mouza, C. and Li, Y. A Label-based Edge Partitioning for Multi-Layer Graphs. In 52nd Hawaii International Conference on System Sciences (HICSS 2019), pages 2216-2225, HICSS, Maui, Hawaii, United States, 2019. doi  www 

Actes de colloque

  1. Becker, J.; Novikov, D.; Uskenbaeva, R.; Nazarov, D. M.; Tsukanova, O. A.; Barrios, J.; Kornyshova, E.; Pastor, O.; Shchepkin, A.V.; Korepanov, V. O.; Fedyanin, D. and Burkov, V. N. Proceedings of the 21st IEEE Conference on Business Informatics (CBI 2019), Moskva, Russia, July 15-17. Volume 2 - Research-in-Progress Papers and Workshop Papers. IEEE 2019. IEEE, Moscou, Russia, 2019. www 
  1. Metais, E.; Meziane, F.; Vadera, S.; Sugumaran, V. and Sarae, M. Natural Language Processing and Information Systems - 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26-28, 2019, Proceedings. Springer, Salford, United Kingdom, Lecture Notes in Computer Science 11608, 2019. www 

2018

Livres

Chapitres d'ouvrage

  1. Fadili, H. An ontological approach to the integration of dictionary and terminological resources, in the context of Linked Open Data (LOD) for the Digital Humanities. In Terminologie & Ontologie : Théories et Applications, Presses universitaires Savoie Mont Blanc, 2018. www 

Articles de conférence

  1. Ghorbel, F.; Metais, E.; Hamdi, F. c. and Ellouze, N. An Incremental Extraction and Visualization of Ontology Instance Summaries with Memo Graph. In SETIT 2018, pages 94-104, Springer, Gênes, Italy, 2018. doi  www 
  1. Kornyshova, E. and Barrios, J. Visual Representation of the TOGAF Requirements Management Process. In ER Workshops, 5th International Workshop on Conceptual Modeling in Requirements and Business Analysis (MREBA 2018), pages 239-248, Springer, Xi'an, China, 2018. doi  www 
  1. Ghorbel, F.; Metais, E.; Hamdi, F. c. and Ellouze, N. A Memory Training for Alzheimer Patients. In SETIT 2018, pages 410-419, Gênes, Italy, 2018. doi  www 
  1. Paris, P-H.; Abadie, N. and Brando, C. Georeferencing historical ressources. In Time Machine conference, Lausanne, Switzerland, 2018. www 

2017

Livres

Articles de conférence

  1. Jouis, C.; Fadili, H.; Ganascia, J-G.; Yang, B.; Bertin, M. and Atanassova, I. EC3 : Un démonstrateur fondé sur l'Exploration Contextuelle des données Textuelles pour la détection et la visualisation des informations cibles. In Big Data Mining and Visualization, Lille, France, 2017. www 
  1. Issa, S.; Paris, P-H. and Hamdi, F. c. Assessing the Completeness Evolution of~DBpedia: A Case Study. In Advances in Conceptual Modeling - ER 2017 Workshops AHA, MoBiD, MREBA, OntoCom, and QMMQ, pages 238-247, Springer, Valencia, Spain, 2017. doi  www 
  1. Feliachi, A.; Abadie, N. and Hamdi, F. c. Assessing the Positional Planimetric Accuracy of~DBpedia Georeferenced Resources. In 4th workshop Quality of Models and Models of Quality (QMMQ 2017), pages 227-237, Springer, Valencia, Spain, 4th workshop Quality of Models and Models of Quality (QMMQ 2017) in conjunction with the 36th International Conference on Conceptual Modeling (ER2017) 10651, 2017. doi  www 
  1. Fadili, H.; Jouis, C.; Ganascia, J-G.; Atanassova, I.; Yang, B. and Bertin, M. Contextual Exploration (EC3): a strategy for the detection, extraction and visualization of target data. In 4th International Conference on Big Data Analysis and Data Mining, pages 67, Paris, France, Journal of Computer Engineering & Information Technology 6, 2017. doi  www 
  1. Navarro, J.; Legrand, V.; Lagraa, S.; Franc cois, J.; Lahmadi, A.; de Santis, G.; Festor, O.; Lammari, N.; Hamdi, F. c.; Deruyver, A.; Goux, Q.; Allard, M. and Parrend, P. HuMa: A Multi-layer Framework for Threat Analysis in a Heterogeneous Log Environment. In 10th international symposium on foundations and practice of security, pages 144-159, Nancy, France, 2017. doi  www 

Actions de valorisation

Thèses/HDR

2023

Thèses et habilitations

2022

2021

2020

2019

2018

Thèses et habilitations

  1. Ghorbel, F. Dialogue graphique intelligent, fondé sur une ontologie, pour une prothèse de mémoire. Ph.D. Thesis, Conservatoire national des arts et metiers - CNAM ; Université de Sfax (Tunisie). Faculté des Sciences économiques et de gestion, 2018.
  1. Grossetti, Q. Système de recommandation sur les plateformes de micro-blogging et bulles filtrantes. Ph.D. Thesis, Sorbonne Université, 2018.
  1. Do, T. A. A quality-centered approach for web application engineering. Ph.D. Thesis, Conservatoire national des arts et metiers - CNAM, 2018.
  1. Herradi, N. Représentation sémantique multilingue, multiculturelle et temporelle des relations interpersonnelles, appliquée `a une prothèse de mémoire. Ph.D. Thesis, Conservatoire national des arts et metiers - CNAM, 2018.
  1. Sangupamba Mwilu, O. De la business intelligence interne vers la business intelligence dans le cloud : modèles et apports méthodologiques. Ph.D. Thesis, Conservatoire national des arts et metiers - CNAM, 2018.

2017

Projets en cours

Collaboration ALEKSO
  • Nom complet: Collaboration Alekso (Projet ARC): Collaboration ALEKSO - Financeur: Societe ALEKSO
  • Durée: January 2022 - July 2025
  • Résumé:
Cifre AIRBUS
  • Nom complet: Cifre AIRBUS Maxime Prieur: Cifre AIRBUS - Financeur: Airbus defense and Space SAS
  • Durée: March 2022 - February 2025
  • Résumé: Enrichissement Semi-Automatisé d'une base de connaissance au travers de l'analyse automatique de textes
ANR CoRREau
  • Nom complet: Résilience par la conception et sécurité des réseaux d'eau: ANR CoRREau - Financeur: ANR
  • Durée: October 2022 - September 2026
  • Résumé:
Dotation ISID 2024
  • Nom complet: Dotation ISID 2024: Dotation ISID 2024 - Financeur: Laboratoire Cédric
  • Durée: January 2024 - December 2024
  • Résumé:
PEX Jurai 2024
  • Nom complet: PEX Jurai 2024: PEX Jurai 2024 - Financeur: Laboratoire Cédric
  • Durée: January 2024 - December 2024
  • Résumé:
Collaboration ALEKSO
  • Nom complet: Collaboration Alekso (Projet ARC): Collaboration ALEKSO - Financeur: Societe ALEKSO
  • Durée: January 2022 - July 2025
  • Résumé: Moteur apprenant pour la détection d'anomalie sur flux chiffrés et une remédiation en contexte / projet ARC
COLLABORATION KIRRK
  • Nom complet: COLLABORATION KIRRK: COLLABORATION KIRRK - Financeur: KIRRK SAS
  • Durée: July 2022 - January 2026
  • Résumé: Détection d'anomalies dans le déploiement de politiques de sécurité des systèmes véhiculaires connectés

Projets passés

    • Nom complet: Ingénierie des systèmes d'information et de décision 2021
    • Durée: January 2020 - December 2021
    • Résumé:

    • Nom complet: Conception et développement de jeux pervasifs adaptables avec prise en compte des états émotionnels des joueurs
    • Durée: January 2021 - December 2021
    • Résumé: Le profil du joueur, y compris ses émotions, impacte la conception des jeux. Afin de proposer une meilleure expérience aux joueurs et de proposer un jeu particularisé, le jeu doit être adaptable en fonction du contexte global du joueur. Le projet vise dans une approche holistique qui combine à la fois l’individu et ses émotions, et, les influences de l’entourage qui va du bâtiment lui-même à l’atmosphère que dégage le lieu. . Il s’agit en premier lieu d’élaborer un modèle conceptuel du jeu pervasif adaptable basé sur les émotions. La deuxième étape sera de développer une approche d’ingénierie situationnelle du Système d’Information pour ces jeux. L’approche doit être appliquée au domaine des jeux pervasifs mais rester en même temps assez générique pour pouvoir être par la suite étendue aux autres domaines (par exemple, aux jeux dans le contexte médical ou d’apprentissage). La dernière étape sera consacrée à la mise en place de la plateforme correspondante.

    • Nom complet: Machine Learning to Explain Security Incidents
    • Durée: January 2021 - December 2021
    • Résumé: Collaboration des équipes ISID (Nadira Lammari, Nada Mimouni, Hammou Fadili), MSDMA (Nicolas Thome) and EE SD (Véronique Legrand) Il y a, de nos jours, une réelle prise de conscience que la sécurité n’est jamais acquise. Comme souligné par les professionnels de la cybersécurité, face à la complexité et la prolifération des attaques, une surveillance continue de la sécurité du Système d’Information (SI) est plus que jamais nécessaire. Cet objectif nécessite la mise en œuvre de plusieurs activités, y compris l’analyse des causes profondes des incidents de sécurité, connue sous l’acronyme anglais RCA (Root Cause Analysis). Dans le cadre de ce projet, nous souhaitons tirer profit de la capacité du « Machine Learning » (ML) à apprendre de masses de données et des capacités de raisonnement humain dans des contextes complexes afin de concevoir et mettre en œuvre une approche guidée qui aide, non seulement, à l’explication les incidents de sécurité mais qui apprend et transmet également les connaissances et les compétences métier. La transmission des connaissances en analyse de la sécurité fournira aux experts en sécurité des capacités défensives et offensives. La transmission des compétences en ML donnera aux experts en sécurité plus d’autonomie dans le choix l’orchestration et le calibrage des algorithmes.

    • Nom complet: HUMA
    • Durée: March 2015 - August 2019
    • Résumé:

    • Nom complet: SAFECARE
    • Durée: September 2018 - August 2021
    • Résumé:

    • Nom complet: AIRBUS J. DEBURE
    • Durée: February 2018 - January 2021
    • Résumé:

    • Nom complet: ANR DAPHNE
    • Durée: October 2017 - February 2023
    • Résumé:

    • Nom complet: L'IA pour l'accès au réseau de textes JURidiques
    • Durée: January 2022 - December 2022
    • Résumé: Le projet vise à prendre en compte la compléxité des textes juridiques (dimensions sémantique et intertextuelle) dans un système d'accès à l'information pour les utilisateurs du droit.

    • Nom complet: Développement situationel de la cartographie emmersive étendue
    • Durée: March 2021 - April 2024
    • Résumé: Elaboration et la mise en place d’une approche situationnelle pour le développement de la Cartographie Immersive Etendue pour valorisation de l’équipement technologique

    • Nom complet: Soutien équipe ISID 2022
    • Durée: January 2022 - December 2022
    • Résumé:

    • Nom complet: Dotation ISID 2023
    • Durée: January 2023 - December 2023
    • Résumé:

    • Nom complet: PEX JURAI 2023
    • Durée: January 2023 - December 2023
    • Résumé:

    • Nom complet: PEX SmartLife 2023
    • Durée: January 2023 - December 2023
    • Résumé:

    • Nom complet: Prestation AIRBUS Projet Excelab CNAM 2021-2022
    • Durée: November 2021 - December 2022
    • Résumé:

    • Nom complet: Projet COSYNUS ECAM LaSalle
    • Durée: November 2022 - November 2023
    • Résumé:

    • Nom complet: Projet Excelab - variability & multi-criteria decision making - Airbus 2022 20223
    • Durée: April 2022 - December 2023
    • Résumé:

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