MaDICS est un Groupement de Recherche (GDR) du CNRS créé en 2015. Il propose un écosystème pour promouvoir et animer des activités de recherche interdisciplinaires en Sciences des Données. Il est un forum d’échanges et d’accompagnement pour les acteurs scientifiques et non-scientifiques (industriels, médiatiques, culturels,…) confrontés aux problèmes du Big Data et des Sciences des données.
Pour en savoir plus…
Les activités de MaDICS sont structurées à travers des Actions et Ateliers. Les Actions rassemblent les acteurs d’une thématique précise pendant une durée limitée (entre deux et quatre ans). La création d’une Action est précédée par un ou plusieurs Ateliers qui permettent de consolider les thématiques et les objectifs de l’action à venir.
Le site de MaDICS propose plusieurs outils de support et de communication ouverts à la communauté concernée par les Sciences des Données:
- Manifestations MaDICS : Le GDR MaDICS labellise des Manifestations comme des conférences, workshops ou écoles d’été. Toute demande de labellisation est évaluée par le Comité de Direction du GDR. Une labellisation rend possible un soutien financier pour les jeunes chercheuses et chercheurs. Une labellisation peut aussi être accompagnée d’une demande de soutien financier pour des missions d’intervenants ou de participants à la manifestation.
Pour en savoir plus… - Réseaux MaDICS : pour mieux cibler les activités d’animation de la recherche liées à la formation et à l’innovation, le GDR MaDICS a mis en place un Réseau Formation destiné à divers publics (jeunes chercheurs, formation continue,…), un Réseau Innovation pour faciliter et intensifier la diffusion des recherches en Big Data, Sciences des Données aux acteurs industriels et un Club de Partenaires qui soutiennent et participent aux activités du GDR.
Pour en savoir plus… - Espace des Doctorants : Les doctorants et les jeunes chercheurs représentent un moteur essentiel de la recherche et le GDR propose des aides à la mobilité et pour la participation à des manifestations MaDICS.
Pour en savoir plus… - Outils de communication : Le site MaDICS permet de diffuser des informations diverses (évènements, offres d’emplois, proposition de thèses, …) liées aux thématiques de recherche du GDR. Ces informations sont envoyées à tous les abonnés de la liste de diffusion MaDICS et publiés dans un Calendrier public (évènements) et une page d’offres d’emplois.
Adhésion au GDR MaDICS : L’adhésion au GDR MaDICS est gratuite pour les membres des laboratoires ou des établissements de recherche publics. Les autres personnes peuvent adhérer au nom de l’entreprise ou à titre individuel en payant une cotisation annuelle.
Pour en savoir plus…
Manifestations à venir
Journées Ecoles Conférences et Séminaires
Actions, Ateliers et Groupes de Travail :
DAE DatAstro DSChem EXMIA GeoKIF HELP Musiscale RECAST SaD-2HN SIMDAC SimpleText TIDS
Date : 2022-09-23
Lieu : ECML-PKDD @GRENOBLE, FRANCE
https://graphquality.github.io/
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[Please accept our apologies if you receive multiple copies of this Call for Papers (CFP)]
The GRAPH-QUALITY Workshop at ECML-PKDD 2022 aims to explore the theoretical and practical aspects of quality of data, models and evaluation in the context of graph-based data mining and machine learning. We invite contributions in the area of Data and Model Quality for Mining and Learning with relational data (measures, algorithms, models, tools, evaluations, etc.) to be presented at the GRAPH-QUALITY workshop which is to be held at the European Conference on Machine Learning and Principles and Practices of Knowledge Discovery from Data (ECML-PKDD), in Grenoble, France – 23 September 2022.
Topics of interests
- Anomaly detection on graphs
- Assessment of fairness and bias in the context of graphs, graph models (including representations), and subsequent tasks such as link prediction
- Explainable graph models and predictions
- Graph models and representations learning in the context of missing data and noise
- Privacy preserving data mining and machine learning for relational data
- Probabilistic methods and uncertainty estimation on networks
- Algorithms and metrics for quality preservation on relational data
Submission Information
All papers will be peer-reviewed single-blind. We welcome many kinds of papers, such as (and not limited to):
- Novel research papers
- Work-in-progress papers
- Vision and position papers
- Appraisal papers of existing methods and tools (e.g., evaluations, lessons learned)
Authors should indicate in their abstract the kind of submissions that the paper belongs to, to help reviewers better understand their contributions. Submissions must be in PDF, written in English and formatted according to the single-column CEUR-ART style (downloadable at http://ceur-ws.org/Vol-XXX/CEURART.zip). Novel research papers should be 10 to 16 pages (including references), work-in-progress, vision/position, and appraisal papers should be 6-10 pages (including references). Accepted papers will be presented as a poster in the poster sessions and a few will be selected to also give an oral presentation.
Authors may opt-in to have their paper possibly published in workshop proceedings at CEUR-WS. All papers will be posted on the workshop website. The proceedings containing the opt-in papers will be submitted for inclusion to CEUR-WS. Assuming a sufficient number of high-quality papers, the proceedings are likely to be accepted, but conforming to CEUR-WS policy it cannot guarantee beforehand that the proceedings will indeed be published. Papers in the CEUR-WS series are published Open Access, without fee, under the CC-BY 4.0 licence (exceptions for Crown or US government employees). You as the author remain to hold the copyright.
For accepted papers, at least one author must register for the conference and attend the workshop in-person to present the work.
Submit via EasyChair: https://easychair.org/my/conference?conf=graphquality2022
Important Dates
Submission: June 30, 2022
Notification: July 18, 2022
Early registration deadline for the conference: July 22, 2022
Camera-ready: August 12, 2022
Programme and papers online: Monday 5 Sep 2022
Workshop date: September 23, 2022
Futher information and Contact
Organizers: Nidhi Hegde, Christine Largeron, Jefrey Lijffijt, Osmar R. Zaïane
Website URL: https://graphquality.github.io/
E-mail: graphquality22@gmail.com
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
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Date : 2022-09-29 => 2022-09-30
Lieu : campus de l’université de Lyon à Villeurbanne. Les participations distantes seront également possibles (format hybride).
Le GdR EcoStat organise, avec le soutien de la MITI du CNRS, la deuxième
édition du workshop “imaginecology” :
https://imaginecology2.sciencesconf.org
Le workshop inclura trois présentations plénières et sera précédé de
mini-formations optionnelles. L’objectif est de créer et renforcer les
interactions entre personnes travaillant aux interfaces entre
intelligence artificielle et écologie. N’hésitez donc pas à venir
discuter et/ou proposer une courte intervention (5 minutes), pour
présenter vos travaux, données ou intérêts, ou même juste partager votre
problématique.
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
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Annonce en lien avec l’Action/le Réseau : Musiscale
Thème :
Similarités musicales : échelles, dimensions, modèles, usages
Présentation :
Les données musicales constituent une masse d’information considérable qui est cependant mal exploitée du fait de l’absence de paradigme générique permettant de rendre de rendre compte de leurs relations de similarité, et ce à diverses échelles de représentation.
Par similarité, on entend des relations simples qui permettent d’expliquer et de formuler les correspondances entre éléments, séquences temporelles, sections, albums, oeuvres, voire corpus musicaux, en tenant compte de leurs spécificités mais en veillant à faire appel à un paradigme général. Les éléments musicaux s’organisent en effet à différentes échelles, au sein d’un corpus, dans le temps, etc.
Dans tous les cas on peut identifier des éléments qui se répètent, éventuellement avec des variations (reprises de morceaux au sein du corpus, similarités de motifs dans le temps au sein d’un morceau, répétitions de notes au sein d’un motif, etc.).
L’atelier Musiscale vise à définir les propriétés et les structures de données les plus appropriées à ces représentations, en tenant compte de la nature des données mais sans préjuger des utilisations qui peuvent en être faites.
Dans cet objectif, nous organisons les 6 et 7 octobre à Paris les premières journées de l’atelier Musiscale sur la thématique :
« Similarités musicales à différentes échelles, différentes dimensions, différents domaines : modèles, besoins, usages. »
Du : 2022-10-06
Au : 2022-10-07
Lieu : Maison de la Recherche
28 rue Serpente 75006 Paris
Site Web : https://www.madics.fr/ateliers/musiscale/
Pour vous inscrire, vous devez déjà être membre du GDR MaDICS et identifié sur le site.
Inscrivez-vous maintenant !
Date : 2022-10-10 => 2022-10-12
Lieu : Maison des SCiences de l’Homme, Campusd e Dijon
Le GIS FRANCE GRILLES, Silecs/Grid’5000, le Groupe Calcul, le GDR RSD, GENCI et les mésocentres organisent ensemble les JCAD 2022, Journées Calcul Données : Rencontres scientifiques et techniques autour du calcul et des données.
Les JCAD sont dédiées à la fois aux utilisateurs et aux experts techniques des infrastructures et des services associés. Les objectifs de ces rencontres sont de présenter des travaux scientifiques, dans toutes les disciplines, réalisés grâce au soutien des infrastructures de grilles de calcul, de mésocentres ou de cloud, les travaux de la recherche en informatique associée et les évolutions techniques et travaux des administrateurs de ces infrastructures.
Ces journées associeront exposés pléniers, tables rondes et posters sur des sujets d’actualité.
Cette année, elles auront lieu du 10 au 12 octobre, à Dijon, Maison des Sciences de l’Homme (MSH) sur le campus de Dijon, en partenariat avec l’Université de Bourgogne (uB), l’Université de Franche-Comté (UFC), la Direction du Numérique uB (DNum) et le Mésocentre Bourgogne-Franche-Comté (MesoBFC).
Notre site web : www.madics.fr
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Date : 2022-10-10 => 2022-10-14
Lieu : Lisbon, Portugal
Hybrid mode attendance
*** Call for Papers for SUMAC 2022 ***
The 4th workshop on Structuring and Understanding of Multimedia heritAge Contents
In conjunction with ACM Multimedia 2022
10-14 October 2022, Lisbon, Portugal
Workshop: https://sumac-workshops.github.io/2022/
Conference: https://2022.acmmm.org
*** Aims and scope
The digitization of large quantities of analogue data and the massive production of born-digital documents for many years now provide us with large volumes of varied multimedia data (images, maps, text, video, multi-sensor data, etc.), an important feature of which is that they are cross-domain. “Cross-domain” reflects the fact that these data may have been acquired in very different conditions: different acquisition systems, times and points of view. These data represent an extremely rich heritage that can be exploited in a wide variety of fields, from Social Sciences and Humanities to land use and territorial policies, including smart city, urban planning, smart tourism and culture, creative media and entertainment. In terms of research in computer science, they address challenging problems related to the diversity and volume of the media across time, the variety of content descriptors (potentially including the time dimension), the veracity of the data, and the different user needs with respect to engaging with this rich material and the extraction of value out of the data. These challenges are reflected in various research topics such as multimodal and mixed media search, automatic content analysis, multimedia linking and recommendation, and big data analysis and visualization, where scientific bottlenecks may be exacerbated by the time dimension, which also provides topics of interest such as multimodal time series analysis.
The objective of the third edition is to present and discuss the latest and most significant trends in the analysis, structuring and understanding of multimedia contents dedicated to the valorization of heritage, with the emphasis on enabling access to the big data of the past. We welcome research contributions for the following (but not limited to) topics:
– Multimedia and cross-domain data interlinking and recommendation
– Dating and spatialization of historical data
– Mixed media data access and indexing
– Deep learning in adverse conditions (transfer learning, learning with side information, etc.)
– Multi-modal time series analysis, evolution modelling
– Multi-modal and multi-temporal data rendering
– Heritage – Building Information Modelling, Art Virtualisation
– HCI / Interfaces for large-scale datasets
– Smart digitisation of massive quantities of data
– Bench-marking, Open Data Movement
– Generative modelling of cultural heritage
*** Important dates
– Paper submission: 6 July 2022 (11:59 p.m. AoE)
– Author acceptance notification: 29 July 2022
– Camera-Ready: 21 August 2022
– Workshop date: 10 or 14 October 2022 (TBA)
*** Submission guidelines
Submission format. All submissions must be original work not under review at any other workshop, conference, or journal. The workshop will accept papers describing completed work as well as work in progress. One submission format is accepted: full paper, which must follow the formatting guidelines of the main conference ACM MM 2022. Full papers should be from 6 to 8 pages (plus 2 additional pages for the references), encoded as PDF and using the ACM Article Template. For paper guidelines, please visit: https://2022.acmmm.org/call-for-papers/.
Peer Review and publication in ACM Digital Library. Paper submissions must conform with the “double-blind” review policy. All papers will be peer-reviewed by experts in the field, they will receive at least two reviews. Acceptance will be based on relevance to the workshop, scientific novelty, and technical quality. Depending on the number, maturity and topics of the accepted submissions, the work will be presented via oral or poster sessions. The workshop papers will be published in the ACM Digital Library.
*** Organizers
Valerie Gouet-Brunet (LaSTIG Lab / IGN – Gustave Eiffel University, France)
Ronak Kosti (Pattern Recognition Lab / FAU Erlangen-Nurnberg, Germany)
Li Weng (Hangzhou Dianzi University, China)
Notre site web : www.madics.fr
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Date : 2022-10-14
Lieu : IRISA, Rennes
SIFED est une journée de rassemblement de la communauté de l’analyse et la reconnaissance de documents.
Au cours de cette journée, les chercheurs et industriels ont l’occasion de présenter leurs travaux de recherche dans ces domaines.
Toutes les informations sont disponibles sur le site : https://project.inria.fr/sifed2022/fr/
La conférence est gratuite et ouverte à tous, même si vous ne présentez pas de communication !
L’inscription est obligatoire, avant le jeudi 6 octobre sur le site de SIFED : https://project.inria.fr/sifed2022/
Notre site web : www.madics.fr
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Date : 2022-10-19 => 2022-10-21
Lieu : Université de Bourgogne
Dijon, Bourgogne Franche-Comté, France
The ISSA (Intelligent Systems, Services and Applications) track of the 16th international conference SITIS will focus on emerging concepts, architectures, protocols, and methodologies for information management on modern distributed systems such as Cloud, Edge, Fog, and IoT. Nowadays, an unlimited number of smart objects are connected with the scope of making our environment more interactive. Information can be exchanged easily, tasks can be processed collaboratively, devices and objects can be efficiently connected, and communities of users with similar interests can be formed to achieve their goals proficiently and improve performance. New issues and challenges are emerging in this pervasive and collaborative world ranging from the need for high-accurate decision systems able to adapt to changing environments to the need of protecting the safety, security and privacy of the users, which are increasingly seen as yet another component of these systems. To address the above issues and challenges, modern systems and applications are increasingly based on ML/AI models made available thanks to the huge amount of data and the increased networking performance (e.g., 5G low latency). In this context, the data produced by the environment defined a paradigm named “Big Data”. In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself.
Novel architectures and solutions are being proposed to promote this incoming Intelligent Web era, ranging from enhanced machine-to-machine communications, resource sharing and processing of linked data and devices, distributed computing and cooperative systems, mobile information systems and services, semantic-based applications and intelligent data processing, advanced distributed learning and AI model ensemble strategies to state a few examples. On top of this, novel data security and privacy protocols, as well as assurance and certification approaches, need to be designed and implemented to guarantee a given level of trustworthiness and reliability on modern systems and applications.
ISSA track aims to provide an international forum for researchers, professionals, and industrial practitioners to share their experiences and knowledge in this growing and highly important area of internet and Web technologies.
The topics of interest of the track include, but are not limited to:
1) Data semantics and Web-Centric Systems
Ontologies and Conceptual Data Modeling
Knowledge Representation and Reasoning
Semantic Data Integration and Ontology Engineering
Social Media and Social Semantics
Folksonomies and Emergent Semantics
Web/Data Mining and Machine Learning
Recommender Systems and Crowd-sourcing
Semantic Data Indexing, Search, and Retrieval
Multimedia Data Modeling and Visualization
Semantics in Data Access, Visualization, and User Interfaces
Semantic Technologies for Mobile Platforms
2) Big Data Management and Analytics
Theoretical Models for Big Data
Computational Models for Big Data
Data and Information Quality for Big Data
Big Data Models, Representation Formats, and Algorithms
Big Data Semantics and Knowledge Organization
Big Data Architectures and Storage
Descriptive, Predictive, and Predictive Analytics on Big Data
Machine Learning Algorithms for Big Data
Big Data Integration Architectures and Techniques
Graph Modeling, Storage, and Analytics
3) Service-based Computing
Data and Knowledge as a Services
Web Services, Mobile Services, and Service Computing
Software Architecture and Middleware
Semantic and Intelligent Services
Service Discovery, Selection, and Recommendation
Service Composition and Service-based data Integration
Business Process as a Service (BPaaS)
Health Informatics as a Service (HIaaS)
Financial Software as a Service (FSaaS)
Education as a Service (EaaS)
4) Intelligent Services and Applications
Future Networks for Cloud Edge Fog and IoT
Artificial Intelligence in Edge/IoT computing
Distributed Ontologies and Contextual Reasoning
Semantic Interoperability and Semantic Mediators
Collective Knowledge and Collective Intelligence
Data Analysis and Visualization for health and Smart Cities
Smart Homes and Independent Living
Intelligent Service Discovery, selection, and composition
Service-based data Integration
Business Process as a Service (BPaaS)
Health Informatics as a Service (HIaaS)
Ecosystem services and management
5) Information Security and Privacy
Security Modeling and Access Control Protocol
Web Security and Trust Management
Fundamental Security Services on Network and Distributed Systems
Security and Privacy for Emerging Technologies
Big Data Security Protection, Confidentiality, Integrity, and Privacy
Next generation 5G/6G Network Security
Dependable and Reliable services
Assurance/testing and monitoring of security properties
Trustworthy/Certified AI/ML
Trustworthy AI/ML
Certified AI/ML
Track Chairs:
Paolo Ceravolo, University of Milan, Italy
Ana Roxin, University of Bourgogne, France
Robert Wrembel, Poznan University of Technology, Poland
PAPER SUBMISSION
SUBMIT your contribution
Submission and publication
Each submission should be at most 8 pages in total including a bibliography and well-marked appendices and must follow the IEEE double columns publication format.
You can download the IEEE conference templates – Latex and MS Word A4 – at the following URL: https://www.ieee.org/conferences/publishing/templates.html
Submissions will be peer-reviewed by at least two peer reviewers. Papers will be evaluated based on relevance, significance, impact, originality, technical soundness, and quality of presentation.
At least one author should attend the conference to present an accepted paper. All papers accepted for presentation at the main tracks and workshops will be included in the conference proceedings, which will be published by IEEE Computer Society and referenced in IEEE Xplore Digital Library, Scopus, DBLP and major indexes.
Paper submission will only be online via SITIS 2022 submission site:
https://easychair.org/conferences/?conf=sitis2022
Registration
At least one author of each accepted paper must register for the conference and present the work. A single registration allows attending both track and workshop sessions.
Further information is available on the registration page.
Notre site web : www.madics.fr
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Date : 2022-10-24 => 2022-10-25
Lieu : La Valetta, Malta
In conjunction with the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL), the 16th IFAC/IFIP Workshop on Enterprise Integration, Interoperability and Networking will take place 24 – 26 October 2022 – in Valletta, Malta.
Additionally we will hold IFAC TC5.3 and IFIP WG 5.8 meetings during the event.
SCOPE
In the context of the Factory of the Future, enterprises have to become S^3 (Enterprises: Smart, Sensing and Sustainable) Enterprises. These system-of-systems must adapt to be sustainable not only along the environmental but also economic dimensions. The sensed information must support smart decisions. In this context, enterprise integration, interoperability and networking are major disciplines that study how enterprise system-of-systems collaborate, communicate, and coordinate in the most effective way. Enterprise Integration aims at improving synergy within the enterprise so that sustainability is achieved in a more productive and efficient way. Enterprise Interoperability and Networking aim at more adaptability within and across multiple collaborating enterprises.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
Interoperability in a Big-Data Society
Cyber Physical Systems Interoperability
Cognitive Cyber-Physical Systems
Interoperability in the Context of Internet of Things
Artificial Intelligence-enabled Data Management
Artificial Intelligence Models for Interoperability
Ontology and Knowledge Extraction from Data Sets
This workshop is supported by IFAC and IFIP groups:
International Federation of Automatic Control: Technical Committees TC5.3 Integration and Interoperability of Enterprise Systems & TC3.1 Computers for Control.
International Federation on Information Processing: Workgroup WG5.8 Enterprise Interoperability
IMPORTANT DATES
Paper Submission: July 31, 2022
Authors Notification: September 9, 2022
Camera Ready and Registration: September 19, 2022
Details are found here: https://in4pl.scitevents.org/EI2N.aspx
Notre site web : www.madics.fr
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Date : 2022-10-24 => 2022-10-27
Lieu : Clermont-Ferrand
Les 38èmes journées de la conférence BDA « Gestion de Données – Principes, Technologies et Applications » (https://bda2022.sciencesconf.org) se dérouleront cette année à Clermont-Ferrand du 24 octobre au 27 octobre 2022, sur le Campus des Cézeaux (Laboratoire LIMOS, Clermont Auvergne INP, UCA, Aubière).
Les inscriptions sont ouvertes sur le site suivant : https://bda2022.sciencesconf.org/resource/page/id/12
Keynotes BDA 2022 (https://bda2022.sciencesconf.org/resource/page/id/16)
• Leopoldo Bertossi (Skema Business School Canada Inc., Montreal) : From Database Repairs to Causality in Databases and Beyond
• Marie-Christine Rousset (LIG, UGA, Grenoble) : Detecting and Explaining Privacy Risks on Temporal Data
• Maria-Esther Vidal (L3S, Hannovre, Allemagne) : Data Management Challenges in Healthcare Analytics
La liste des articles et des démonstrations acceptés à BDA 2022 est disponible à cette adresse : https://bda2022.sciencesconf.org/resource/page/id/13
BDA 2022 est co-localisée avec la 18ème edition des journées Business Intelligence & Big Data, EDA 2022 (https://sites.google.com/view/eda22/accueil?pli=1).
Une inscription conjointe aux deux conférences est proposée à un tarif préférentiel.
Notre site web : www.madics.fr
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Date : 2022-10-24 => 2022-10-06
Lieu : Bozen-Bolzano, Italy
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Call for Papers
CoopIS 2022: The 28th International Conference on Cooperative Information Systems
October 04-07, 2022
Bozen-Bolzano, Italy
http://www.coopisconference.org
Proceedings: Springer LNCS
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Important Dates:
Abstract submission: June 6 2022
Full paper submission: June 15 2022
Full paper notification: July 20 2022
Camera ready due: July 27 2022
Author registration due: July 31 2022
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Papers need to be submitted to EasyChair.
https://easychair.org/my/conference?conf=coopis2022
# Aim and Scope
The International Conference on Cooperative Information Systems is an established international event for presenting and discussing scientific contributions about technical, economical, and societal aspects of distributed information systems at scale.
The guiding theme of this 28th conference is “Information Systems in a Digital World”, with a particular focus on the following areas:
– Topic 1: Data, Information, and Knowledge Engineering
– Topic 2: Machine-Learning and Knowledge Discovery
– Topic 3: Process Analytics and Technology
– Topic 4: Semantic Interoperability and Open Standards
– Topic 5: Security and Privacy
– Topic 6: Internet of Things and Digital Twins
– Topic 7: Architecture and Management of Information Systems
– Topic 8: Human Aspects and Social Interaction in Information Systems
– Topic 9: Services and Cloud in Information Systems
For a detailed description of these topics, please see the conference Web site at www.coopisconference.org
Submissions
===========
Authors are invited to submit original, unpublished research papers that are not under review for any other conference, workshop, or journal. Papers must be written in English. The contributions should address research questions that relate to one of the topics listed above.
We particularly encourage:
1. Contributions that introduce and evaluate technological innovations (e.g. new techniques, tools, methods or software).
2. Empirical studies (e.g. quantitative data on the effects of novel approaches in technical, social, or economical terms).
3. Systematic surveys of emerging technologies and competing paradigms.
The questions addressed should both be practically relevant and appealing to the general IS field. Full papers should include a systematic evaluation of the contribution and relate this contribution to related scientific work. Short papers may present work supported by preliminary evidence only.
Submitted papers will be peer-reviewed by at least 3 reviewers. Papers are evaluated in terms of originality, significance, technical soundness, and clarity.
Submissions for full papers must not exceed 18 pages in the final camera-ready paper style. Short papers can cover up to 8 pages. Submissions must be laid out according to the final camera-ready formatting instructions and must be submitted in PDF format.
Each accepted paper must have one of its authors registered to the conference before the camera-ready deadline. The conference organizers reserve the right of removing a paper from the proceedings if no author is officially registered by the camera-ready deadline. Moreover, only papers that have been presented by their authors during the conference will be published in the conference proceedings.
The final proceedings will be published by Springer Verlag in their Lecture Notes in Computer Science (LNCS). Author instructions can be found at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
It is mandatory to submit manuscripts in electronic form (in PDF format).
General Chairs
==============
Hervé Panetto, Université de Lorraine, CNRS, CRAN, TELECOM Nancy, France.
Walid Gaaloul, Institut Polytechnique de Paris – Télécom SudParis, SAMOVAR, France.
Program Chairs
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Paolo Ceravolo, University of Milan, Italy
Hajo Reijers, Utrecht University, The Netherlands
Publicity Chairs
==============
Zhangbing Zhou, School of Information Engineering, China University of Geosciences, P.R. China
Jean M. Simão, Federal University of Technology – Parana, Brazil
Program Committee (Tentative)
=================
Marco, Aiello, University of Stuttgart, Germany
Mehwish, Alam, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, AIFB Institute, KIT, Germany
Joao Paulo, Almeida, Federal University of Espirito Santo, Brazil
Abel, Armas-Cervantes, The University of Melbourne, Australia
Nour, Assy, Télécom Sudparis, France
Ahmed, Awad, University of Tartu, Estonia
Banu, Aysolmaz, Eindhoven University of Technology, Netherlands
Eduard, Babkin, LAPRADESS Laboratory, State University, Russia
Sebastian, Bader, Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS, Germany
Sylvio, Barbon jr, University of Trieste, Italy
Ingmar, Baumgart, FZI Research Center for Information Technology, Germany
Khalid, Belhajjame, PSL, Université Paris-Dauphine, LAMSADE, France
Narjes, Bellamine, University of Manouba, ENSI, RIADI LR99ES26, France
Salima, Benbernou, Université Paris Descartes, France
Djamal, Benslimane, Lyon 1 University, France
Mario Luca, Bernardi, University of Sannio, Italy
Javier, Berrocal, University of Extremadura, Spain
Xavier, Blanc, Bordeaux University, France
Athman, Bouguettaya, The University of Sydney, Australia
Hayet, Brabra, Télécom Sudparis, Frannce
Uwe, Breitenbücher, University of Stuttgart, Germany
Cristina, Cabanillas, Vienna University of Economics and Business, Austria
Richard, Chbeir, Univ. Pau & Pays Adour, UPPA/E2S, LIUPPA Anglet, France
Carlo, Combi, Università degli Studi di Verona, Italy
Marco, Comuzzi, Ulsan National Institute of Science and Technology, South Korea
Silvia, Dallavalle de Pádua, University of São Paulo, Brazil
Massimiliano, de Leoni, University of Padua, Italy
Johannes, De Smedt, KU Leuven, Belgium
Bruno, Defude, Télécom Sudparis, France
Adela, del Río, University of Seville, Spain
Daniele, Dell’Aglio, University of Zurich, Switzerland
Elena, Demidova, L3S Research Center, Germany
Benoît, Depaire, Hasselt University, Belgium
Giuseppe, Desolda, Dipartimento di Informatica – University of Bari, Italy
Jochen, Deweerdt, University of Antwerp, Belgium
Claudio, Di Ciccio, Sapienza University of Rome, Italy
Chiara, Di Francescomarino, Fondazione Bruno Kessler, Italy
Chiara, Di Francescomarino, Fondazione Bruno Kessler (FBK), Italy
Khalil, Drira, LAAS-CNRS, France
Marlon, Dumas, University of Tartu, Estonia
Rik, Eshuis, Eindhoven University of Technology, Netherlands
Javier A., Espinosa-Oviedo, Delft University of Technology, Netherlands
Ernesto, Exposito, Université de Pau et des Pays de l’Adour, France
Dirk, Fahland, Eindhoven University of Technology, Netherlands
Marcelo, Fantinato, University of São Paulo, Brazil
George, Feuerlicht, University of Economics, Czech Republic
Avigdor, Gal, Technion, Israel
Luciano, García-Bañuelos, Tecnológico de Monterrey, Mexico
Chirine, Ghedira, Université Lyon1, France
Chirine, Ghedira Guegan, IAE – Lyon 3 University, France
María Teresa, Gómez, University of Seville, Spain
José, Gonzalez Enriquez, University of Seville, Spain
Mohamed, Graiet, ISIM Monastir, Tunisia
Paul, Grefen, Eindhoven University of Technology, Netherlands
Daniela, Grigori, Laboratoire LAMSADE, University Paris-Dauphine, France
Georg, Grossmann, University of South Australia, Australia
Antonella, Guzzo, Università della Calabria, Italy
Mohand-Said, Hacid, Université Claude Bernard Lyon 1 – UCBL, France
Mirian, Halfeld Ferrari Alves, University of Orléans, France
Armin, Haller, Australian National University, Australia
Karl, Hammar, Jönköping University, Sweden
Martin, Hepp, Universität der Bundeswehr München, Germany
Anett, Hoppe, TIB Leibniz Information Centre for Science and Technology, Poland
Stijn, Hoppenbrouwers, HAN University of Applied Sciences, Netherlands
Stefan, Jablonski, University of Bayreuth, Germany
Yaser, Jararweh, Duquesne University
Manfred, Jeusfeld, University of Skövde, School of Informatics (IIT), Germany
Andrés, Jiménez Ramírez, University of Seville, Spain
Anna, Kalenkova, University of Melbourne, Australia
Anna, Kalenkova, University of Melbourne, Australia
Dimka, Karastoyanova, University of Groningen, Netherlands
Dimitrios, Katsaros, Aristotle University of Thessaloniki, Greece
A. S. M., Kayes, La Trobe University
Matthias, Klusch, DFKI, Germany
Agnes, Koschmider, Kiel University, Germany
Marcello, La Rosa, The University of Melbourne, Australia
Agnieszka, Lawrynowicz, Poznan University of Technology, Poland
Alexander, Lazovik, University of Groningen, Netherlands
Maria, Leitner, Austrian Institute of Technology, Austria
Henrik, Leopold, Kühne Logistics University, Germany
Francesco, Leotta, “Dipartimento di Informatica e Sistemistica (DIS) “”A. Ruberti””, Univerità “”Sapienza”” Roma, Italy”
Mario, Lezoche, University of Lorraine, CNRS, CRAN, France
Xixi, Lu, Utrecht University, Netherlands
Jiangang, Ma, Federation University Australia
Zakaria, Maamar, Zayed University, UAE
Alexander, Mädche, Karlsruhe Institute of Technology, Germany
Sanjay, Madria, Missouri S & T, USA
Samira, Maghool, University of Milan, Italy
Maria, Maleshkova, University of Bonn, Germany
Amel, Mammar, Telecom SudParis, France
Felix, Mannhardt, Eindhoven University of Technology, Netherlands
Maristella, Matera, Politecnico di Milano, Italy
Raimundas, Matulevicius, University of Tartu, Estonia
Simon, Mayer, University of St. Gallen and ETH Zurich, Switzerland
Massimo, Mecella, Sapienza University of Rome, Italy
Lionel, Médini, LIRIS lab. / University of Lyon, France
Jan, Mendling, Humboldt University, Germany
Philippe, Merle, INRIA, France
Nizar, Messai, LI – Université François Rabelais Tours, France
Sellami, Mokhtar, Liris UCBL, France
Amira, Mouakher, Université de Bourgogne, France
Azzam, Mourad, Lebanese American University, Lebanon
Jorge, Munoz-Gama, Pontificia Universidad Católica de Chile, Chile
Juan Manuel, Murillo Rodríguez, University of Extremadura, Spain
Giulio, Napolitano, Fraunhofer Institute and University of Bonn, Germany
Alex, Ng, La Trobe University
Alexander, Norta, Tallinn University of Technology, Estonia
Selmin, Nurcan, Université Paris 1 Panthéon – Sorbonne, France
Andreas L, Opdahl, University of Bergen, Norway
Helen, Paik, University of New South Wales, Australia
Maria Luisa, Parody, University of Loyola, Spain
Oscar, Pastor Lopez, Universitat Politècnica de València, Spain
Cesare, Pautasso, University of Lugano, Switzerland
Stefan, Pickl, Uni Bw Munich, Germany
Geert, Poels, Ghent University, Belgium
Luise, Pufahl, TU Berlin, Germany
Gil, Regev, Ecole Polytechnique Fédérale de Lausanne, Switzerland
Manfred, Reichert, University of Ulm, Germany
Manuel, Resinas, University of Seville, Spain
Kate, Revoredo, Wirtschaftsuniversität Wien, Austria
Sonja, Ristic, University of Novi Sad, Serbia
Michael, Rosemann, Queensland University of Technology, Australia
Shazia, Sadiq, The University of Queensland, Australia
Flavia, Santoro, University of the State of Rio de Janeiro (UERJ), Brazil
Stefan, Schönig, Universität Regensburg, Germany
Gezim, Sejdiu, University of Bonn, Germany
Mohamed, Sellami, Telecom SudParis, France
Amartya, Sen, Oakland University, MI, USA
Estefanía, Serral, KU Leuven, Belgium
Nicolas, Seydoux, LAAS-CNRS/IRIT, France
Michael, Sheng, Macquarie University, Australia
Natalia, Sidorova, Eindhoven University of Technology, Netherlands
Jean M. Simão, Federal University of Technology – Parana, Brazil
Renuka, Sindhgatta, QUT, Australia
Pnina, Soffer, University of Haifa, Israel
Pnina, Soffer, University of Haifa, Israel
Jacopo, Soldani, University of Pisa, Italy
Chengzheng, Sun, Nanyang Technological University, Singapour
Yehia, Taher, DAVID – UVSQ, France
Joe, Tekli, Lebanese American University, Liban
Lucinéia Heloisa, Thom, Federal University of Rio Grande do Sul, Brazil
Farouk, Toumani, Limos, Blaise Pascal University, France
Nick, van Beest, Data61, Australia
Inge, van de Weerd, Utrecht University, Netherlands
Han, van der Aa, University of Mannheim, Germany
Jan Martijn, van der Werf, Utrecht University, Netherlands
Boudewijn, van Dongen, TU/e, Netherlands
Sebastiaan J., van Zelst, RWTH Aachen University, Germany
Maria Esther, Vidal, Universidad Simon Bolivar, Dept. Computer Science, Bolivia
Ingo, Weber, TU Berlin, Germany
George, Weichhart, Profactor AG, Austria
Tobias, Weller, Karlsruhe Institute of Technology, Germay
Lena, Wiese, Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM), Germany
Karolin, Winter, Technical University of Munich, Germany
Guido, Wirtz, University of Bamberg, Germany
Moe Thandar, Wynn, Queensland University of Technology, Australia
Jian, Yang, Macquarie University, Australia
Jian, Yu, Auckland University of Technology, New Zeland
Amrapali, Zaveri, Maastricht University, Netherlands
Zhangbing, Zhou, CUG Beijing, P.R. China
Topic Descriptions
==================
Relevant topics for the conference include, but are not limited to the following:
Topic 1: Data, Information, and Knowledge Engineering
– Conceptual and Enterprise Modeling
– Ontology Learning and Engineering
– Data Structures in Cloud and Big Data Architectures
– Ontology and Schema Alignment and Interoperability
– Evolution and Maintenance of Conceptual Models
– Data Quality Management
Topic 2: Machine-Learning and Knowledge Discovery
– Machine Learning
– Deep Learning
– Data Mining
– Graph Embeddings
– Entity Recognition and Linking
– Linguistic Annotation
Topic 3: Process Analytics and Technology
– Performance Measurment
– Trace Encoding
– Process Discovery
– Conformance Analysis
– Process Improvement
– IT for work innovation
– Robotic Process Automation
Topic 4: Semantic Interoperability and Open Standards
– Vocabularies for the Semantic Web
– Formalisms and Syntaxes
– Querying Graph Data and Query Languages
– Inference and Reasoning
– Open Data Architectures and Ecosystems
Topic 5: Security and Privacy
– Access Control
– Data Proteciton and Privacy
– Blockchain-based Approaches
– Cryptocurrencies
– Information Entropy
Topic 6: Internet of Things and Digital Twins
– Connectivity, Interfaces, and Protocols
– Data Structures for IoT and Digital Twins
– Storage and Data Management
– Computing and Processing in IoT Environments
– Sensors and Actuators
Topic 7: Architecture and Management of Information Systems
– Information Architecture
– Enterprise Architecture Management
– Software Design
– Digital Transformation
– Monitoring Tools And Techniques
Topic 8: Human Aspects and Social Interaction in Information Systems
– Economics of Cooperative Information Systems
– Visualization
– Human-Computer Interaction
– Incentives and User Contributions
– Reputation Management
Topic 9: Services and Cloud in Information Systems
– Web Services, APIs
– Services Science, Engineering, Management
– Microservice-oriented architecture (MOA), Service Mesh
– Cloud service management, Cloud workflow management
– Cloud and fog computing, Edge service orchestration
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
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Date : 2022-11-01 => 2022-11-16
Lieu : Université Paris Dauphine, Salle A711, 15h30-17h00
Thierry KIRAT (IRISSO, Dauphine-PSL), Olivia TAMBOU (CR2D, Dauphine-PSL), Virginie DO & Alexis TSOUKIAS (LAMSADE, Dauphine-PSL): Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law (Room A 711).
Preprint downloadable at: https://arxiv.org/abs/2206.03226
The Interdisciplinary Seminar ‘Algorithms and Society’ (ISAS) focuses on the societal, legal, political and economic issues related to the development of algorithmic decisions. It aims at confronting the perspectives brought by the different specialists, by emphasizing the definitions of the key concepts and by supporting the interdisciplinary exchanges between social sciences, data science and artificial intelligence specialists.
Notre site web : www.madics.fr
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Date : 2022-11-08 => 2022-11-10
Lieu : Palermo Italy
You are cordially invited to submit your contribution until June 07, 2022.
SPEAKERS
• Luís A. Nunes Amaral Northwestern University USA
• Manuel Cebrian Max Planck Institute for Human Development Germany
• Shlomo Havlin Bar-Ilan University in Israel
• Giulia Iori City, University of London UK
• Melanie Mitchell Santa Fe Institute USA
• Ricard Solé Universitat Pompeu Fabra Spain
TUTORIALS (November 07, 2022)
• Michele Coscia IT University of Copenhagen Denmark
• Adriana Iamnitchi Maastricht University, Netherlands
PUBLICATION
Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome.
• Papers will be included in the conference proceedings edited by Springer
• Extended abstracts will be published in the Book of Abstracts (with ISBN)
Extended versions will be invited for publication in special issues of international journals:
o Applied Network Science edited by Springer
o Advances in Complex Systems edited by World Scientific
o Complex Systems
o Entropy edited by MDPI
o PLOS one
o Social Network Analysis and Mining edited by Springer
TOPICS
Topics include, but are not limited to:
o Models of Complex Networks
o Structural Network Properties and Analysis
o Complex Networks and Epidemics
o Community Structure in Networks
o Community Discovery in Complex Networks
o Motif Discovery in Complex Networks
o Network Mining
o Network embedding methods
o Machine learning with graphs
o Dynamics and Evolution Patterns of Complex Networks
o Link Prediction
o Multilayer Networks
o Network Controllability
o Synchronization in Networks
o Visual Representation of Complex Networks
o Large-scale Graph Analytics
o Social Reputation, Influence, and Trust
o Information Spreading in Social Media
o Rumour and Viral Marketing in Social Networks
o Recommendation Systems and Complex Networks
o Financial and Economic Networks
o Complex Networks and Mobility
o Biological and Technological Networks
o Mobile call Networks
o Bioinformatics and Earth Sciences Applications
o Resilience and Robustness of Complex Networks
o Complex Networks for Physical Infrastructures
o Complex Networks, Smart Cities and Smart Grids
o Political networks
o Supply chain networks
o Complex networks and information systems
o Complex networks and CPS/IoT
o Graph signal processing
o Cognitive Network Science
o Network Medicine
o Network Neuroscience
o Quantifying success through network analysis
o Temporal and spatial networks
o Historical Networks
GENERAL CHAIRS
Hocine Cherifi (University of Burgundy, France)
Rosario N. Mantegna (university of Palermo, Italy)
Luis M. Rocha (Binghamton University, USA)
Notre site web : www.madics.fr
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Date : 2022-11-15 => 2022-11-17
Lieu : Montpellier
The objective of the conference organized by the KIM Data & Life Sciences is to connect researchers and promote interdisciplinary collaborations, in the field of massive data, machine learning and artificial intelligence with connections to life sciences.
Keynote speakers:
Stephen Becker (University of Colorado
Michael Blum (
Julien Chiquet (INRAE, Paris-Saclay University)
Sophie Donnet (INRAE,Paris-Saclay University)
Emmanuel Faure (CNRS & LIRMM, Montpellier)
Flora Jay (CNRS, Paris-Saclay University)
Tim Landgraf (University of Berlin)
Charles-Henri Lecellier (CNRS, IGMM & LIRMM, University of Montpellier)
Diego Marcos (Inria, Montpellier)
Gabriel Peyré (CNRS & École Normale Supérieure Paris)
Daniele Silvestro (University of Fribourg)
Yun S. Song (UC Berkeley)
Bertrand Thirion (Inria, Team Parietal, Univ. Paris-Saclay)
Nathalie Vialaneix (INRAE, Toulouse)
Notre site web : www.madics.fr
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Date : 2022-11-22
Lieu : Lien ZOOM , Université C.B. Lyon 1, LIRIS
Bonjour,
Nous avons le plaisir de vous inviter à la journée du projet européen
MACHINA :
https://machina.univ-lyon1.fr/journee/
Cette journée comprend des présentations sur les résultats de ce projet
dont l’objectif est d’offrir une formation professionnelle sous forme de
MOOC en Machine Learning.
Cette journée, organisée par l’Université Lyon 1 et le LIRIS, se tiendra
le 22 Novembre 2022 à 10h CET (par visio).
Pour des raisons organisationnelles, merci de bien vouloir vous inscrire
à l’adresse suivante :
https://docs.google.com/forms/d/e/1FAIpQLSf9vYlFiu4kfbB3T7SlyJDKe1LHOzPYNJDmlrJL0Fpz_0C0og/viewform
Bien Cordialement
Pr. Parisa Ghodous
Notre site web : www.madics.fr
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Date : 2022-11-25
Lieu : Curium ENSEA (6, avenue du Ponceau 95014 Cergy-Pontoise)
Chères et chers collègues,
nous avons le plaisir de vous inviter au séminaire autour du Machine Learning Automatisé pour la Découverte des Connaissances.
Nous accueillerons au Curium ENSEA (6, avenue du Ponceau 95014 Cergy-Pontoise) M. Ioannis Tsamardinos (Professeur à l’Université de Crete) Vendredi 25 Novembre à 10 h.
Suivre le séminaire en distanciel sera possible sur ZOOM (lien en description).
Vous trouvez tous les détails ci-dessous.
Cordialement,
Vassilis Christophides et Michele Linardi
ENSEA – CYU
Title: Automated Machine Learning for Knowledge Discovery
Abstract: Automated Machine Learning, or AutoML, is a newly emerging field in Machine Learning. It promises to automate predictive modeling, democratize machine learning to non-experts, boost the productivity of experts, ensure the statistical validity of the modeling process, and even surpass human experts in quality. AutoML should not only strive to produce a high-quality model, but all information, explanations, interpretations, and decision support a human expert would. In this talk, we’ll present the challenges of AutoML and the design choices we made to construct the Just Add Data Bio, or JADBio for short, AutoML platform. JADBio is particularly suited for very high dimensional data with millions of features, and low-sample datasets that present statistical estimation challenges. Particularly, JADBio focuses on Knowledge Discovery in the form of Feature Selection and identifying one or more minimal-size subsets that lead to the optimal model. Feature Selection is often the primary goal of the analysis as a first step to understanding the causal relations in our data. We’ll also discuss on-going efforts to construct an Automated Causal Discovery engine that strives to take AutoML a step further and return the best possible Causal Model that fits the data.
Short Bio: Ioannis Tsamardinos, Ph.D., is a Professor at the Computer Science Department of the University of Crete, CEO, and co-founder of JADBio (Gnosis Data Analysis PC), a University start-up. He obtained his Ph.D. from the Intelligent Systems Program at the University of Pittsburgh in 2001. Prof. Tsamardinos’ main research directions include machine learning, bioinformatics, and artificial intelligence. More specifically his computer science work emphasizes automated machine learning, feature selection, and causal discovery. Prof. Tsamardinos has over 140 publications in international journals, conferences, and books. Distinctions with colleagues and students a Gold Medal in the Student Paper Competition in MEDINFO 2004, the Outstanding Student Paper Award in AIPS 2000, the NASA Group Achievement Award for participation in the Remote Agent team, and others. Statistics on recognition of work include more than 10000 citations (1000+ a year), and h-index of 40 (as estimated by Google Scholar). Ioannis has been awarded the European and Greek national grants of excellence, the ERC Consolidator, and the ARISTEIA II grants respectively.
Participer à la réunion Zoom
https://cnrs.zoom.us/j/93377455419?pwd=Z2l4RU1yaklBQ3ZIdWFQN2ZxSzRndz09
ID de réunion : 933 7745 5419
Code secret : 8R5xU9
Notre site web : www.madics.fr
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Date : 2022-12-01
Lieu : Inria Saclay, Batiment Turing. Palaiseau
The Deep Learning revolution over the last decade has progressively invaded all fields of digital science and is gradually establishing itself as a complement to physical and knowledge-based models at all stages of modeling, simulation, optimization and control of complex systems.
Following the successful first edition in 2021, starting as an echo of the IA2 Program at IRT SystemX, the second workshop will feature keynote presentations (to be announced), and will allow researchers to present their most recent works. Contributed presentations are solicited, covering various topics in the field, including but not limited to the following:
– Handling and explaining the massive output data of heavy numerical simulations
– Accelerating numerical simulations with Deep / Machine Learning
– Improving the accuracy or the robustness of simulations with Machine Learning
– Learning to solve ODEs and PDEs
– Discovering mechanistic/behavioral models from data
– Incorporating physical constraints in Deep Learning
– Providing support in augmented decision making for complex systems
– New Human-Computer Interactions
– Symbolic and Numerical AI hybridization
– Natural language processing techniques based on IA
– Hybridization of deep learning with symbolic artificial intelligence
– Knowledge extraction and reasoning techniques from heterogeneous data
– Ontology and knowledge graph alignment
– Stream processing and reasoning (video and textual data)
Call for contributions
Link for abstract submission on the web page https://www.irt-systemx.fr/evenements/second-workshop-on-ai-augmented-engineering/
Accepted submissions will be presented either as contributed talks (20mn including questions) or as posters (during dedicated sessions, and during the breaks). Submissions selected for contributed talks can also be presented as posters, if the authors so wish.
Notre site web : www.madics.fr
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Date : 2022-12-02
Lieu : Paris-Dauphine University
While we are experiencing a rapid increase in Volume, Velocity and Variety of Remote Sensing data, most Remote Sensing platforms and systems are still relying on the traditional data management strategies. These strategies use file management systems or relational data management systems to manage data objects, their catalogs, and the associated metadata. However, with the explosion of data in Remote Sensing, this approach is reaching its limits in both data and metadata management, significantly reducing the performance of application layers on top of those Remote Sensing platforms and systems. The aims of RSDM-GeoSci are to promote the effective uses of appropriate data management technologies and to increase the value of Remote Sensing data. In this inaugural workshop, we focus on bringing together a research community to review the state of art in data management tools and understand the application requirements. Invited talks and submissions to workshops would describe consolidated requirements, novel research topics, use cases of emerging technologies, and application trends. Topics may include, but are not limited to:
Spatio-temporal database solutions for Big Remote Sensing Data
Graph databases, knowledge graph, graph visualization, web semantics tools/technologies for managing and discovering data and metadata in Remote Sensing
Novel database solutions for Analysis-Ready Data (ARD)
Using Big Data management and analysis tools for Remote Sensing data management and analysis
(Near-)Real-time intelligence from Remote Sensing platforms
The workshop also welcomes submissions showcasing use cases that describe adaptations and enhancements of data management technologies for use in real-world remote-sensing applications (such as data discovery dashboards and data pipelines).
Notre site web : www.madics.fr
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Date : 2022-12-05 => 2023-07-07
Lieu : Strasbourg, France.
============================================
1er appel à communications IC @ PFIA 2023
============================================
Appel à communication IC 2023 (34es Journées Francophones d’Ingénierie des Connaissances)
dans le cadre de la plateforme PFIA 2023 (Plate-Forme de l’Intelligence Artificielle)
du 03 au 07 juillet 2023, à Strasbourg, France.
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Présentation de la conférence
—————————————-
Les journées francophones d’Ingénierie des Connaissances (IC) sont organisées chaque année depuis 1997, d’abord sous l’égide du Gracq (Groupe de Recherche en Acquisition des Connaissances) puis sous celle du collège SIC (Science de l’Ingénierie des Connaissances) de l’AFIA. Cette année encore, IC est hébergée par la plateforme PFIA, conjointement avec d’autres conférences francophones dans le domaine de l’intelligence artificielle (IA).
L’ingénierie des connaissances peut être vue comme la thématique de l’Intelligence Artificielle accompagnant l’évolution des sciences et technologies de l’information et de la communication qui engendrent des mutations dans les pratiques individuelles et collectives. Elle ambitionne de contribuer à son essor en développant les modèles, les méthodes et les outils pour l’acquisition, la représentation et l’intégration de connaissances afin de rendre possible leur exploitation dans des environnements informatiques aux caractéristiques variées. La représentation formelle de ces connaissances permet des raisonnements automatiques sur ces connaissances et sur les données qui leur sont associées, pouvant être complexes, hétérogènes et évolutives. Sa finalité est la production de systèmes capables d’aider l’humain dans ses activités et ses prises de décisions.
La conférence Ingénierie des Connaissances réunit la communauté francophone et est un lieu d’échanges et de réflexions, de présentation et de confrontation des théories, pratiques, méthodes et outils. Cette communauté doit désormais prendre en compte l’essor des algorithmes d’apprentissage et leurs retombées sur les pratiques individuelles et collectives, tout en conservant l’humain au centre des systèmes de données et connaissances.
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Thèmes de la conférence
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Les propositions portant sur le thème « apports des graphes de connaissances pour les approches neuro-symboliques d’apprentissage automatique dans l’ingénierie des connaissances » seront particulièrement bienvenues. Nous encourageons également les propositions de communication sur des travaux, originaux ou déjà publiés à l’international, ayant une portée théorique, méthodologique ou pratique, sur l’un des thèmes listés ci-dessous (liste non exhaustive) :
Ingénierie des connaissances pour le Web
Stockage et interrogation de connaissances distribuées
Web sémantique, Web des données, Web social, Web des objets
Représentation des connaissances, ontologies
Modèles de connaissances : conception, évolution, évaluation, exploitation, cycle de vie
Modélisation et formalisation : langages formels et informels, standardisation
Méthodes et outils pour l’ingénierie ontologique : alignement, intégration, modularité, fusion, métriques, patrons de conception, visualisation
Conception et réutilisation d’ontologies fondatrices, ontologies de core-domaine, ontologies de domaine, interopérabilité, terminologies
De la donnée à la connaissance
Extraction et acquisition de connaissances, peuplement d’ontologies, annotation sémantique
Acquisition de connaissances à partir de textes, à partir d’images, à partir de données non structurées, à partir d’interactions
Ingénierie des systèmes collaboratifs, crowd-sourcing
Traitements et raisonnements sur les connaissances
Ingénierie des connaissances et fouille de données
Qualité des données et des connaissances
Ingénierie des connaissances et données complexes : données multimédia, multilingues, temporelles, spatiales, multi-échelles, imprécises ou incertaines
Propriété et sécurité dans les systèmes à base de connaissances
Provenance et confiance dans les données, détection de vérité, incertitude
Métrique et évaluation de la qualité des données et connaissances
Raisonnement et apprentissage
Inférences et règles métiers
Raisonnement logique, approximations, raisonnement statistique, raisonnement par analogie, raisonnement à partir de cas, raisonnement dans les logiques non classiques
Calcul de plongements de graphes de connaissances
Apprentissage profond et graphes de connaissances
Applications de l’Ingénierie des Connaissances et retours d’expérience
Recherche d’Information, indexation, recommandation
Interaction Homme-Machine : visualisation de données, de connaissances et interconnexions, interface avec un système à base de connaissances, explications
Agents conversationnels
Systèmes de recommandation à base de connaissances
Adaptation, personnalisation : profils utilisateurs, modèles de contexte et adaptation, modèles d’émotion
Traitement de données massives, hétérogènes
Applications aux sciences de la vie, à l’agriculture, la culture, l’éducation, l’industrie, l’économie, le droit, l’informatique décisionnelle (BI), etc.
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Dates importantes
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Soumission des articles : 1er mars 2023
Notification aux auteurs : 15 avril 2023
Réception des versions définitives : 15 mai 2023
Dates de la conférence : du 03 au 07 juillet 2023
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Soumissions
—————————————-
L’appel à contributions de l’édition 2023 de la conférence IC comporte plusieurs types de communications :
Articles de recherche originaux (académiques ou applicatifs/industriels)
– Articles longs présentant des travaux originaux et validés (au maximum 10 pages références comprises, présentation orale 20 min, discussion 10 min)
– Articles courts présentant des travaux originaux ayant des résultats préliminaires (au maximum 6 pages références comprises, présentation orale 15 min, discussion 5 min)
– Posters et démonstrations accompagnés de résumés de 4 pages maximum références comprises (présentation pendant les séances posters/démos de la plateforme). Pour les démonstrations il est recommandé d’ajouter un lien dans le résumé vers une vidéo de démonstration de l’outil/logiciel.
Articles de positionnement
– Articles de positionnement apportant une rétrospective sur les travaux en lien avec un domaine bien identifié en lien avec les thématiques de la conférence, et proposant un point de vue sur les prochains verrous scientifiques importants de ce domaine (au maximum 6 pages références comprises, présentation orale 15 min, discussion 10 min)
Articles de recherche déjà publiés
– Articles déjà publiés dans de conférences ou revues internationales mais inédits en français. La soumission, obligatoirement en français avec une référence vers l’article publié (au maximum 2 pages références comprises).
Un prix du meilleur article sera décerné par le comité de programme pendant la conférence.
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Comités
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Présidente du comité de programme : Cassia Trojahn (Université Toulouse 2 Jean Jaurès, IRIT)
Comité de programme : en cours de constitution
Président du comité d’organisation : Thomas Guyet (INRIA)
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
Pour vous désabonner de la liste, suivre ce lien.
Date : 2022-12-08
Lieu : Campus de la Doua à Lyon
Journée reproductibilité du LabEx Primes
Le LabEx Primes organise une journée scientifique autour de la notion de reproductibilité. Il s’agira d’aborder la reproductibilité d’un résultat scientifique au sens large: reproductibilité expérimentale d’une mesure (influence de la chaine d’acquisition, instrumentation, choix des paramètres), reproductibilité numérique (chaine de traitement) dans le contexte de l’IA, reproductibilité d’une simulation; ainsi que tout ce qui concerne l’analyse statistique qui est mise œuvre, le questionnement sur les sources d’incertitude et d’erreur.
La journée est ouverte à toute personne intéressée. Plus d’information et inscription sur le site: https://reprod-primes.sciencesconf.org/
La journée est gratuite mais l’inscription est obligatoire.
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
Pour vous désabonner de la liste, suivre ce lien.
Date : 2022-12-12 => 2022-12-16
Lieu : ENS Lyon
Rationale :
Numerical computation and data analysis are essential aspects of research in astrophysics and astronomy, a field which has historically always been a producer of big data. Thus, whether to analyze photometric or spectroscopic data from large observatories on the ground or in space, or to produce and analyze virtual data from numerical simulations, astrophysics tools require large computing resources and storage, as well as new numerical methods adapted to new or emerging architectures.
This conference at the initiative of the Numerical Specific Action responds to the desire of the community to exchange their thoughts on these different numerical aspects in astrophysics. We encourage everyone to come and share their numerical analysis and modeling work, with the desire that this week of exchange will make it possible to decompartmentalize the themes, and to identify the methodological points of convergence between observations and simulations.
Abstract and registration deadline : 17th October
Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
Pour vous désabonner de la liste, suivre ce lien.