=Paper=
{{Paper
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|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-3333/KeynoteSpeakers.pdf
|volume=Vol-3333
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==None==
https://ceur-ws.org/Vol-3333/KeynoteSpeakers.pdf
Keynote Speaker (1)
Ladjel Bellatreche is a Professor at National
Engineering School for Mechanics and
Aerotechnics (ENSMA), Poitiers, where he joined
as a faculty member since Sept 2010. He leads the
Data and Model Engineering Team of Laboratory of
Computer Science and Automatic Control for
Systems (LIAS) (LIAS). His research interests
include: Semantic Data Integration; Ontology‐
based Database Design; Large Database Design; Big
Data; etc.
Log Things Analytics: the case of Knowledge Graphs
Abstract. Nowadays, the competitiveness of a company passes through customer satisfaction.
Openness, online availability of products and services, and the presence of customer review
digital platforms are important strategies to fulfill this requirement. The customer logs hosted
by these platforms have become a wealth of information. Several research efforts have been
undertaken in the contexts of databases (DB) and the Web, where diverse usages have been
developed. After reviewing more than 200 papers covering log exploitation, we were surprised
to discover the absence of generic and democratic end-to-end architecture for log multi-usage,
especially, if we refer to the democratization of data exploitation architectures. With this
motivation in mind, we present in the talk DIALOG -- a generic end-to-end layered architecture,
for any log (that we call Thing-log) and any usage, associated with different pipelines:
collection, preparation, curation, storage, and usage. DIALOG also considers constraints on
logs. Setting this architecture is guided by two objectives: a deep understanding of a thing and
its logs and the explainability of DIALOG pipelines. Thanks to our efforts in capitalizing on
existing findings on log usage, getting benefits from the maturity and democratization of data
exploitation architectures, and the meta-modeling facilities, we propose generic architecture
offering three levels of abstraction: Thing, Product, and its instance. To validate DIALOG, we
choose Knowledge Graphs (KG) as our product, for their openness, the increasing interest in
their logs, and their availability, and DBpedia as its instance, with a topic modeling usage.
Keynote Speaker (2)
Ilham Kitouni Is a Research Associate Professor in
the department of IFA, Faculty of New
Technologies of Information and Communication,
Constantine 2‐Abdel Hamid Mehri University,
Algeria. She is a Vice Rector in charge of External
Relations at the same university since 2019. She
current research interests include Formal methods
and verification of systems, Internet of Things and
Computational Intelligence paradigms.
Vers une société connectée – Contribution de
l’université
Abstract. Les dispositifs de l'Internet des objets (IoT) deviennent omniprésents dans la
maison, sur la route, dans l'industrie et dans les soins de santé. Cette technologie offre l'occasion
de démontrer la pertinence sociale de l'informatique. Les plates-formes IoT d'aujourd'hui sont
simplifiées et destinées aux amateurs permettent la création d’applications IoT significatives et
réelles ainsi le contexte et les exemples IoT fournissent des terrains de perfectionnement des
compétences de pensée critique tout en résolvant des problèmes intéressants du monde réel.
Selon un rapport de Statista (04/12/2022), le nombre de dispositifs IoT passera à plus de 29
milliards en 2030 et le manque de confidentialité dans ses dispositifs n’est pas à discuter, les
utilisateurs continuent de les adopter, en acceptant les accords de confidentialité attachés. On
renonce librement à des informations personnelles pour se connecter à ces dispositifs, y compris
l'utilisation d'appareils électroménagers, la sécurité à domicile, l'utilisation d'équipements
médicaux à la maison, les véhicules, la voix et la géolocalisation ainsi que les routines
personnelles.
Les données qui sont la véritable valeur de l'IoT doivent être protégées et l’éthique devrait être
au centre de cette révolution. Quel rôle pour les chercheurs et les universités dans cette
révolution et qui ouvrira le débat ?
Keynote Speaker (3)
Hamid Mcheikh is a full professor in Computer
Science Department at the University of Québec at
Chicoutimi, Canada. He has more than 20 years of
experience in both academic and industrial area. He
has done his PhD in Software Engineering and
Distributed System in the University of Montreal,
Canada. He is working on design and adaptation of
distributed and smart software applications;
designing healthcare framework; and designing
smart Internet of Things and edge framework.
Smart Healthcare Framework
Abstract. Today, health framework is reshaping the research in the medical domain due to its
potential to concurrently overcome the challenges encountered in the traditional healthcare
systems. Prediction of exacerbations of Chronic Obstructive Pulmonary Disease (COPD) is
considered one of the most difficult problems in the medical field. Many issues face researchers
in the medical domain, such as modelling context (risk factors) of a patient, uncertainty,
accuracy of these factors and their relationship, and preventing exacerbations. These issues have
been handled in many research projects. However, traditional treatment plan and non-fully
automatic applications are still used. The goal of this research is to build reliable mechanism to
improve life quality of COPD patients and to protect them against risk factors. In this talk, I
will present COPD healthcare architectural framework including context modelling, context
representation and rule-based recommendations.