Date : 2023-07-07
Lieu : Strasbourg

————–
Atelier SOSEM — Présentation
————–

Cet atelier s’intéresse à la question de la science ouverte sous l’angle de l’exploitation des outils du web sémantique. En particulier, l’apport des technologies sémantiques à un meilleur respect des critères FAIR (Findable, Accessible, Interoperable, Reusable).

Des efforts spécifiques sont nécessaires pour rendre pleinement réutilisables et compréhensibles les divers types de données produites par les chercheurs, les gestionnaires de données et les fournisseurs de services. Les principes FAIR (Findable, Accessible, Interoperable and Reusable) ont été élaborés pour répondre à ces questions, en décrivant un ensemble d’exigences pour la réutilisation et l’interopérabilité des données. Ces principes font l’objet d’une attention croissante dans toute une série de domaines et d’applications.

Un aspect essentiel pour rendre les données FAIR est la capacité des machines à trouver, accéder, inter-opérer et réutiliser automatiquement les données sans intervention humaine ou avec une intervention humaine minimale. Pour cela, la capacité de décrire correctement et sémantiquement les données est essentielle.

Cette journée a pour but de faire le point sur ces questions dans le paysage français en favorisant l’échange entre les multiples communautés qui s’intéressent à la gestion de la science ouverte et des principes FAIR.

————–
Dates importantes
————–

Date limite de soumission : 15 mai 2023
Notification aux auteurs : 5 juin 2023
Date limite de réception des versions définitives : 26 juin 2023
Date atelier : 7 juillet 2023

————–
Soumissions
————–

Les soumissions pour une présentation orale à l’atelier se feront sous la forme d’un résumé de 2 pages.
Il est nécessaire de respecter le style fourni par PFIA: https://afia.asso.fr/pfia-modeles-et-feuilles-de-style/
Les soumissions doivent être déposées en PDF et en français via la plateforme EasyChair: https://easychair.org/conferences/?conf=sosem2023.

————–
Comité d’organisation
————–

Nathalie Aussenac-Gilles, IRIT/CNRS
Michelle Sibilla, IRIT, Université de Toulouse 3 Paul Sabatier
Cassia Trojahn, IRIT, Université de Toulouse 2 Jean Jaurès

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Date : 2023-07-10 => 2023-07-13
Lieu : Rabat (Morocco)

Grammatical
Inference is the
research area at the intersection of Machine
Learning and Formal
Language Theory. Since
1993, the International Conference on Grammatical Inference (ICGI)
has been the meeting place for presenting, discovering, and
discussing the latest research results on the foundations
of learning languages,
from theoretical and algorithmic perspectives to their applications
(natural language or document processing, bioinformatics, model
checking and software verification, program synthesis, robotic
planning and control, intrusion detection…).

This
16th edition of ICGI will be held in-person in Rabat,
the modern capital with deep-rooted history of Morocco located on the
Atlantic Coast. To celebrate the 30th anniversary of the ICGI
conference, the program will include a distinguished lecture by Dana
Angluin.
The program will also include two
invited talks,
a half-day
tutorial at
the beginning of the conference on formal
languages and neural models for learning on sequences
by
Will
Merrill,
as well as oral presentations of accepted papers.

Important
dates

• Deadline
  for submissions is:
  March 1, 2023 (anywhere on Earth)

• Notification
  of acceptance:
  May 15, 2023

• Camera-ready
  copy: June 15,
  2023

• Conference: July
  10-13, 2023

Topics
of interest

Typical
topics of interest include (but are not limited to):

• Theoretical
  aspects of grammatical inference: learning paradigms, learnability
  results, complexity of learning.

• Learning
  algorithms for language classes inside and outside the Chomsky
  hierarchy. Learning tree and graph grammars. 

• Learning
  probability distributions over strings, trees or graphs, or
  transductions thereof.

• Theoretical
  and empirical research on query learning, active learning, and other
  interactive learning paradigms.

• Theoretical
  and empirical research on methods using or including, but not
  limited to, spectral learning, state-merging, distributional
  learning, statistical relational learning, statistical inference, or
  Bayesian learning

• Theoretical
  analysis of neural network models and their expressiveness through
  the lens of formal languages.

• Experimental
  and theoretical analysis of different approaches to grammar
  induction, including artificial neural networks, statistical
  methods, symbolic methods, information-theoretic approaches, minimum
  description length, complexity-theoretic approaches, heuristic
  methods, etc.

• Leveraging
  formal language tools, models, and theory to improve the
  explainability, interpretability, or verifiability of neural
  networks or other black box models.

• Learning
  with contextualized data: for instance, Grammatical Inference from
  strings or trees paired with semantic representations, or learning
  by situated agents and robots.

• Novel
  approaches to grammatical inference: induction by DNA or quantum
  computing, evolutionary approaches, new representation spaces, etc.

• Successful
  applications of grammatical learning to tasks in fields including,
  but not limited to, natural language processing and computational
  linguistics, model checking and software verification,
  bioinformatics, robotic planning and control, and pattern
  recognition.

Types
of contributions

We
welcome three types of
papers:

• Formal
  or technical papers describe original contributions
  (theoretical, methodological, or conceptual) in the field of
  grammatical inference. A technical paper should clearly describe the
  situation or problem tackled, the relevant state of the art, the
  position or solution suggested, and the benefits of the
  contribution.

• Position
  papers can describe completely new research positions, approaches,
  or open problems. Current limits can be discussed. In all cases,
  rigor in the presentation will be required. Such papers must
  describe precisely the situation, problem, or challenge addressed,
  and demonstrate how current methods, tools, and ways of reasoning,
  may be inadequate.

• Tool
  papers describing a new tool for grammatical inference. The tool
  must be publicly available and the paper has to contain several
  use-case studies describing the use of the tool. In addition, the
  paper should clearly describe the implemented algorithms, input
  parameters and syntax, and the produced output.

Guidelines
for authors

Accepted
papers will be published within the Proceedings
of Machine Learning Research series. The total length of the
paper should not exceed 12 pages on A4-size paper (references and
appendix may exceed this limit but Authors are warned that Reviewers
may not read after page 12). The prospective authors are strongly
recommended to use the JMLR
style file for LaTeX since it will be the required format for the
final published version.

All papers should be
submitted electronically by March 01, 2023; the submission URL
is:
https://www.easychair.org/conferences/?conf=icgi2023

The
peer review process is double-blind: we expect submitted papers to be
anonymous.

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Date : 2023-07-11 => 2023-07-14
Lieu : Bangalore, India

16th International Conference on Educational Data Mining (EDM 2023)
Bangalore, July 11-14, 2023

Call for Papers

It is a pleasure to invite you to Educational Data Mining (EDM 2023). Educational Data Mining is a leading international forum for high-quality research that mines datasets to answer educational research questions, including exploring how people learn and how they teach. The overarching goal of the Educational Data Mining research community is to support learners and teachers more effectively, by developing data-driven understandings of the learning and teaching processes in a wide variety of contexts and for diverse learners. The conference will take place in the Indian Institute of Science Campus, Bengaluru, India, during July 11-14, 2023.

The theme of this year’s conference is “Educational data mining for amplifying human potential”. EDM-2023 particularly welcomes papers focusing on concepts, principles, and techniques mined from educational data for enhancing the potential of all the stakeholders in the education system. Papers describing applications and case studies are especially welcome.

Topics of Interest
– Models and new techniques for mining educational data
– Domain Knowledge Modeling
– Educational Recommenders, Instructional Sequencing, and Personalized Learning
– Learner Cognitive and Behavior Modeling and its association with performance
– Learner Knowledge and Performance Modeling
– Social and Collaborative Learning
– Reproducibility
– Equity, Privacy, Transparency, and Fairness

Important Dates (anywhere on Earth)
– Workshop and Tutorial proposals: December 5, 2022
– Full/short papers abstract: Jan 13, 2023
– Full/short papers, industry papers, posters and demos, doctoral consortium papers: Jan 20, 2023

For any inquiries regarding the program, please contact: edm2023.conf@gmail.com
We look forward to seeing you at EDM 2023.

Sincerely,

—
EDM2023 Program Committee

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Date : 2023-07-11 => 2023-05-28
Lieu : Osaka, Japan

===============================================================

[Call for Papers]

The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining

(PAKDD 2023)

http://pakdd2023.org/

Conference date: May 25-28, 2023 – Osaka, Japan (Onsite/online hybrid)

Paper Submission Deadline: Dec. 7, 2022

===============================================================

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications.

The 27th edition of PAKDD will be held in Osaka, Japan, from May 25 to May 28, 2023.

The venue will be a hybrid of onsite and online.

[Topics]

PAKDD2023 welcomes high-quality, original, and previously unpublished submissions in the theories, technologies, and applications on all aspects of knowledge discovery and data mining. Topics of relevance for the conference include, but not limited to the following.

Methods and algorithms:

Anomaly and outlier detection, Association rule, Classification, Clustering, Data mining pipelines, Deep learning, Dimensionality detection and feature selection, Ethics and fairness, Graphs and networks, Interpretability and explainability, Kernel methods, Matrices and tensors, Online and streaming algorithms, Parallel and distributed mining, Probabilistic models and statistical inference, Regression, Reinforcement learning, Relational learning, Security and privacy, Semi-supervised and unsupervised learning, Theoretical foundations, Transfer learning and meta learning, and Visualization and user interface.

Applications:

Big data, Computational Advertising, Financial data, Information retrieval and search, Internet of Things, Intrusion and fraud detection, Medical and biological data, Multimedia and multimodal data, Recommender systems, Robotics, Scientific data, Social network analysis, Spatio-temporal data, Texts, web, social media, and Time-series and streaming data.

[Paper Submission]

Paper submission must be in English. All papers will be double-blind reviewed by the Program Committee based on technical quality, relevance to data mining, originality, significance, and clarity. All paper submissions will be handled electronically. Papers that do not comply with the Submission Policy will be rejected without review.

Each submitted paper must include an abstract up to 200 words and be no longer than 12 single-spaced pages with 10pt font size (including references, appendices, etc.). Authors must use Springer LNCS/LNAI manuscript submission guidelines for their submissions. All papers must be submitted electronically through the CMT paper submission system in PDF format only. Supplementary material may be submitted as a separate PDF file, but reviewers are not obligated to consider this, and your manuscript should, therefore, stand on its own merits without any supplementary material. Supplementary material will not be published in the proceedings.

We require that any submission to PAKDD must not be already published or under review at another archival conference or journal. Papers on arXiv do not violate this rule as long as the submitted paper does not cite them. Submitting a paper to the conference means that if the paper was accepted, at least one author will complete the regular registration and attend the conference to present the paper. For no-show authors, their papers will not be included in the proceedings.

The conference will confer several awards, including Best Paper Award, Best Student Paper Award, and Best Application Paper Award from the submissions.

Springer will publish the proceedings of the conference as a volume of the LNAI series.

[Double-Blind Review]

Paper submission must adhere to the double-blind review policy. Submissions must remove all details identifying the author(s) from the original manuscript (including the supplementary files, if any), and the author(s) should refer to their prior work in the third person and include all relevant citations.

Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for PAKDD2023. An exception to this rule applies to manuscripts that were published in arXiv not later than October 24, 2022, i.e., at least a month before PAKDD’s submission deadline.

The author list and order cannot be changed after the paper is submitted.

[Formatting Template]

Formatting Template: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.

All the Manuscripts must be prepared and submitted in accordance with the above format. Usage of other formats may lead to disqualification of paper for the conference.

[Submission Site]

https://cmt3.research.microsoft.com/PAKDD2023

[Important Dates]

Paper Submission Deadline: Dec 7, 2022

Paper Acceptance Notification: Feb 7, 2023

Camera Ready Papers Due: Mar 10, 2023

*All deadlines are 23:59 Pacific Standard Time (PST)

[Contact Information]

Program Co-Chairs of PAKDD2023

Hisashi Kashima, Wen-Chih Peng, Tsuyoshi Ide

pakdd2023@gmail.com

PAKDD 2023 Call for Workshops
https://pakdd2023.org/cfw/

The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. The 26th edition of PAKDD will be held in Osaka, Japan, from May 25 to May 28, 2023. The PAKDD 2023 organizing committee invites workshop proposals on foundational and emerging topics in areas related to data mining. The PAKDD workshops provide an informal and vibrant opportunity for researchers and industry practitioners to share their research positions, original research results and practical development experiences on specific challenges and emerging issues. Each workshop should be focused on a cohesive theme so that participants can benefit from interaction with each other.

## Topics of Interest
Workshop topics typically match those identified in the PAKDD 2023 call for papers, but proposals concerned with other areas of data mining and knowledge discovery are welcome. Interdisciplinary workshops that explore the convergence of data mining and knowledge discovery with various disciplines are also encouraged.

## Format
Workshops are scheduled to be held at the beginning of the conference, May 25, 2023. Workshops will be held entirely online. Workshop papers will not be included in the conference proceedings but available on the PAKDD 2023 webpage.

## Duties
The organizers of accepted workshops are expected to disseminate the call for papers, gather submissions, form the program committees, conduct the reviewing process, and decide upon the final workshop program.

## Submission
The workshop proposal should contain the following information:
– Title of the workshop – Objectives, scope, and contribution to the main conference
– Names, affiliations and contacts of the organizers
– Tentative list of the program committee members
– Length of the workshop (full day or half day)
– Expected number of submissions and attendees
Workshop proposals should be submitted by December 1st, 2022 at 11:59PM (PST). Please prepare a PDF (maximum three pages) that contains the aforementioned contents and send it to pakdd2023workshop@gmail.com.

## Important Dates
Workshop proposal submission deadline: December 1, 2022
Workshop proposal acceptance notification: December 21, 2022
Workshop CFP deadline: January 15, 2023
Workshop paper deadline: February 28, 2023
Workshop paper acceptance notification: March 31, 2023
Workshop paper camera-ready: April 25, 2023
*All deadlines are 23:59 Pacific Standard Time (PST)

## Contact Information
Workshop Co-Chairs of PAKDD2023
Yukino Baba, Jill-Jênn Vie
pakdd2023workshop@gmail.com

—
Jill-Jênn
https://jjv.ie

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Date : 2023-07-13
Lieu : Amphithéâtre Laura Bassi, INSA, Campus de la Doua, Lyon

Ou en virtuel :
https://cnrs.zoom.us/j/91931962448?pwd=eC9xTkNaeTlkN2Npd29zd2t4YnJNdz09

Les thèmes “Images et Informatique Graphique” et “Intelligence Artificielle et Apprentissage Automatique” (I3A) de la Fédération Informatique de Lyon (FIL) organisent une demi-journée d’échanges scientifiques sur l’explicabilité des modèles d’apprentissage automatique pour les signaux 2D/3D.

Programme :
Céline Hudelot (Professeur à CentralSupélec Paris, laboratoire MICS)
“Techniques d’explications visuelles pour comprendre les décisions de modèles de classification en imagerie médicale”

Sylvia Tulli (Maître de Conférences, Sorbonne Université, Paris, laboratoire ISIR)
“Explainable AI for Sequential Decision Making and Robotics”

Valentine Wargnier Dauchelle (Doctorante, laboratoire Creatis, Lyon)
“A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection”

Martin Blanchard (Doctorant, LHC, Saint-Étienne)
“Réseaux de neurones explicables: application à l’imagerie cellulaire avec ProtoPNet”

Sébastien Valette (Chargé de Recherche, laboratoire Creatis, Lyon)
“Disentangled representations: towards interpretation of sex determination from hip bone”

inscription : https://evento.renater.fr/survey/demi-journee-fil-xai-hyu9etrx

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Date : 2023-07-17 => 2023-07-20
Lieu : July 17-20, 2023 : Sherbrooke, QC, Canada
and Sept 18-20, 2023 : Online

FOIS 2023 Call for papers

Definition and scope

The FOIS conference is a meeting point for all researchers with an interest in formal ontology. Formal ontology is the systematic study of the types of entities and relations making up the domains of interest represented in modern information systems. The conference encourages submission of high quality, not previously published results on both theoretical issues and practical advancements. FOIS 2023 will have distinct tracks for foundational issues, ontology applications and methods, and domain ontologies.

FOIS aims to be a nexus of interdisciplinary research and communication for researchers from many domains engaging with formal ontology. Common application areas include conceptual modeling, database design, knowledge engineering and management, software engineering, organizational modeling, artificial intelligence, robotics, computational linguistics, the life sciences, bioinformatics and scientific research in general, geographic information science, information retrieval, library and information science, as well as the Semantic Web.

FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA: http://iaoa.org/), which is a non-profit organization promoting interdisciplinary research and international collaboration in formal ontology.

Important dates

• Paper submission deadline: 31 January 2023
• Author rebuttal period: March 24-31, 2023 (tentative)
• Notifications: April 10, 2023 (tentative)
• Camera-ready papers: May 1, 2023
• Onsite conference: July 17-20, 2023
• Virtual conference: week of September 18, 2023

The submission deadline for workshops will be after the notifications to allow authors to submit a revised version of rejected papers to any of the conference workshops if the paper topics are appropriate for this workshop.

Location

FOIS 2023 will consist of a physical meeting and a virtual meeting:

• An in-person only meeting in Sherbrooke, Quebec from July 17 to 21, 2023 that will be very much like a traditional conference with keynotes, regular talks, workshops and tutorials and plenty of social and networking opportunities. This part will not have a remote participation option, but we plan on recording selected talks (e.g. keynotes).
• This will be followed by an online part to be held from September 18 to 20, 2023 that offers an opportunity for presentation and discussion of additional papers that were not presented at the physical meeting in Sherbrooke.

Submissions

FOIS 2023 seeks three types of full-length (14 pages) high-quality papers on a wide range of topics:

• Foundational papers address content-related ontological issues, their formal representation, and their relevance to some aspect of information systems.

• Application and Methods papers address novel systems, methods, and tools related to building, evaluating, or using ontologies, emphasizing the impact of ontology contents.

• Domain ontology papers describe a novel ontology for a specific realm of interest, clarifying ontological choices against requirements and foundational theory, and showing ontology use.

Please refer to the Submissions Instructions (coming soon) for more details. As usual, the FOIS proceedings will be published by IOS Press.

Topics of interest

Areas of particular interest to FOIS include the following:

Foundational Issues
• Kinds of entities: particulars/universals, continuants/occurrents, abstracta/concreta, dependent entities/independent entities, natural objects/artifacts, events/processes
• Formal relations: parthood, identity, connection, dependence, constitution, causality, subsumption, instantiation
• Vagueness and granularity
• Space, time, and change

Methodological issues
• Top-level vs. domain-specific ontologies
• Role of reference ontologies
• Ontology similarity, integration, alignment, matching and entity reconciliation
• Ontology modularity, patterns, and contextuality
• Ontology evaluation, quality, reuse, adaptation, and evolution
• Ontology compliance with FAIR principles
• Formal comparison among ontologies
• Relationship between conceptual modeling and ontologies
• Relationship with cognition, language, semantics, and context
• Connections between knowledge graphs and ontologies
• Methodological issues in the applications of ontologies
• Social issues, such as trust or bias, with respect to ontologies

Applications
• Technical applications of ontologies, such as
• Semantic Web
• Other areas of AI (Machine Learning, Explainable AI, Rules)
• Qualitative modeling
• Systems applications of ontologies, such as
• Ontology-driven information systems design
• Ontology-based data access
• Knowledge management
• Information retrieval
• Computational linguistics
• Metadata management
• Domain applications of ontologies, such as
• Ontologies for business modeling
• Ontologies for particular scientific disciplines (biology, chemistry, geography, physics, geoscience, cognitive sciences, linguistics, etc.)
• Ontologies for engineering: shape, form and function, artifacts, manufacturing, design, architecture, etc.
• Ontologies for the humanities: arts, cultural studies, history, literature, philosophy, etc.
• Ontologies for the social sciences: economics, law, political science, anthropology, archeology, etc.
• Ontologies for Open Science and dataset sharing

Domain-specific ontologies
• Ontology of physical reality (matter, space, time, motion, etc.)
• Ontology of biological reality (organisms, genes, proteins, cells, etc.)
• Ontology of mental reality and agency (beliefs, intentions, emotions, perceptions, cognition, etc.)
• Ontology of artifacts, functions, capacities and roles
• Ontology of social reality (institutions, organizations, norms, social relationships, artistic expressions, etc.)

Conference Organization

General Chair:
Antony Galton, University of Exeter, UK

PC Chairs:
Nathalie Aussenac-Gilles, IRIT-CNRS Toulouse, France
Torsten Hahmann, University of Maine, USA

Local Organization Chair:
Jean-François Ethier, University of Sherbrooke, Canada

Online Chair:
Cassia Trojahn, IRIT Université Toulouse 2, France

Workshop and Tutorial Chairs:
Megan Katsumi, University of Toronto, Canada
Emilio Sanfilippo, ISTC-CNR, Trento, Italy

Early Career Chairs:
Antoine Zimmermann, École des Mines de Saint-Étienne (EMSE), France
Guendalina Righetti, Free University Bozen/Bolzano, Italy

Demo & Showcase Chairs:
Sergio de Cesare, University of Westminster, UK
TBA

Publicity Chairs:
Lucia Gomez Alvarez, TU Dresden, Germany
Selja Seppälä, University College Cork, Ireland

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Annonce en lien avec l’Action/le Réseau :

Thème :

Computational neuroscience

Présentation :

The recent years have seen the explosion of high-throughput neural recording methods: hundreds of individual neurons can now be monitored simultaneously using large-scale functional imaging or multisite electrode arrays. A comparable trend is observed in behavioral studies where new imaging technology produces high-resolution imaging of complex behaviors.
In order to extract meaningful information from these high-dimensional datasets, neurobiologists need to develop and use robust computational methods. This Summer school aims at addressing this need by offering theoretical as well as direct practical exposure to computational tools used in modern neuroscience to interpret high dimensional neurophysiological and behavioral signals associated to complex behaviors.

Du : 2023-08-06

Au : 2023-08-12

Lieu : Observatoire Océanologique de Banyuls-sur-Mer

Site Web : http://ibio.sorbonne-universite.fr/seminars-summer-schools/

Date : 2023-08-08
Lieu : Lisbon, Portugal

First Workshop on Conceptual design for Internet of Robotic Things (CD4IoRT)
To be held in conjunction with ER 2023 (https://er2023.inesc-id.pt)
November 6-9 2023
Lisbon, Portugal
https://pros.unicam.it/cd4iort

!!!!Selected regular papers will be invited to submit an extended version to the special session of Software and Systems Modeling Journal

************************************************************************
** GENERAL INFORMATION and GOAL OF THE WORKSHOP **

The objective of the First Workshop on Conceptual Desing for Internet of Robotic Things (CD4IoRT) is to foster the use of conceptual design in the Internet of Robotic Things (IoRT) domain. Thanks to the advantages brought into everyday human life, IoRT systems have emerged as key technologies with a wide range of applications, in many application domains, e.g., agriculture, manufacturing, industry, domotics, and health. However, the implementation and management of these systems require a broad set of skills. This knowledge gap can be closed by novel conceptual modeling and engineering approaches specific to these software systems. The workshop aims to be a point of contact for practitioners and researchers from Conceptual Modeling with other communities such as Software Engineering, Databases, Business Process Management, Distributed Systems, Formal Methods, and Information Systems where creating a dialogue centered on the development of scientific foundations in this topic. The workshop will foster the discussion of research works case studies, experiences, and industry showcases in order to set up joint activities and future research directions.

** LIST OF TOPICS **

We seek contributions covering all aspects of data modeling for IoRT data applications including, but not limited to, the following topics:

Conceptual modeling and languages for IoRT data
Model-driven engineering for IoRT systems
Low code methods for IoRT systems
Integration and querying IoRT data
Requirement engineering for IoRT systems
IoRT and Artificial Intelligence
Edge-Fog-Cloud architectures design
Data and QoS modeling
Real-time, NoSQL databases
Data stream management systems design
Embedded systems design
Real-life (Urban, agriculture, health, …) applications

** SUBMISSION INSTRUCTIONS **

Submissions should present original works not currently under review or published elsewhere.

This workshop accepts research and industrial papers:
Regular: 10 pages max.
Short: 6 pages max (Demostration, Vision, and Showcase papers)

All accepted papers will be published in the conference proceedings and will be submitted for inclusion.

Papers should be submitted in PDF format using the EasyChair online submission system (https://easychair.org/conferences/overview?a=30545729). Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers.

!
** IMPORTANT DATES **
Abstract Submission: 02 August 2023
Acceptance Notification: 04 September 2023
Camera-Ready Papers: 20 September 2023

** WORKSHOP ORGANIZERS **

Sandro Bimonte, INRAE, France
Lorenzo Rossi, University of Camerino, Italy

** PUBLICATION **

The workshop papers will be published by Springer in LNCS series.

The authors of selected workshop regular papers will be invited to submit an extended version of their contributions to the special session “Model-based Engineering for Internet of Robotic Things Applications” of the Springer’s Software and Systems Modeling Journal

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Date : 2023-08-28 => 2023-08-30
Lieu : Penang, Malaysia

**** IMPORTANT DATES ****
Paper submission: 07 April 2023 (SHARP – FINAL)
Notification of acceptance: 10 May 2023
Camera-ready copies due: 1 June 2023
Conference days: 28-30 August 2023

Papers submission: https://equinocs.springernature.com/service/DEXA2023

**** PUBLICATION ****
All accepted DEXA2023 papers will be published by Springer in their Lecture Notes in Computer Science (LNCS). LNCS volumes are indexed in Scopus; EI Engineering Index; Google Scholar; DBLP; etc. and submitted for indexing in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science. Selected high-quality papers, after revision and extension, will be invited to be published, in a special issue of Knowledge and Information Systems (KAIS), Springer (IF = 3.161) and Transactions of Large Scale Data and Knowledge Centered Systems (TLDKS), Springer.

**** SCOPE ****
Database, information, and knowledge systems have always been a core subject of computer science. The ever increasing need to distribute, exchange, and integrate data, information, and knowledge has added further importance to this subject. Advances in the field will help facilitate new avenues of communication, to proliferate interdisciplinary discovery, and to drive innovation and commercial opportunity. Since 1990, DEXA has been an annual international conference which showcases state-of-the-art research activities in database, information, and knowledge systems. DEXA provides a forum to present research results and to examine advanced applications in the field. The conference and its associated workshops offer an opportunity for developers, scientists, and users to extensively discuss requirements, problems, and solutions in database, information, and knowledge systems.
DEXA 2023 invites research submissions on all topics related to database, information, and knowledge systems including, but not limited to the points in the list below. We also welcome survey papers, provided that the survey fills a void or goes beyond existing overview papers.
– Acquisition, Modelling, Management and Processing of Knowledge
– Authenticity, Privacy, Security, and Trust
– Availability, Reliability and Fault Tolerance
– Big Data Management and Analytics
– Consistency, Integrity, Quality of Data
– Constraint Modelling and Processing
– Cloud Computing and Database-as-a-Service
– Database Federation and Integration, Interoperability, Multi-Databases
– Data and Information Networks
– Data and Information Semantics
– Data Integration, Metadata Management, and Interoperability
– Data Structures and Data Management Algorithms
– Database and Information System Architecture and Performance
– Data Streams, and Sensor Data
– Data Warehousing
– Decision Support Systems and Their Applications
– Dependability, Reliability and Fault Tolerance
– Digital Libraries, and Multimedia Databases
– Distributed, Parallel, P2P, Grid, and Cloud Databases
– Graph Databases
– Incomplete and Uncertain Data
– Information Retrieval
– Information and Database Systems and Their Applications
– Mobile, Pervasive and Ubiquitous Data
– Modelling, Automation and Optimisation of Processes
– NoSQL and NewSQL Databases
– Object, Object-Relational, and Deductive Databases
– Provenance of Data and Information
– Semantic Web and Ontologies
– Social Networks, Social Web, Graph, and Personal Information Management
– Statistical and Scientific Databases
– Temporal, Spatial, and High Dimensional Databases
– Query Processing and Transaction Management
– User Interfaces to Databases and Information Systems
– Visual Data Analytics, Data Mining, and Knowledge Discovery
– WWW and Databases, Web Services
– Workflow Management and Databases
– XML and Semi-structured Data

**** SUBMISSION GUIDELINES ****
Authors are invited to electronically submit original research contributions or experience reports in English. DEXA will accept submissions of both short (up to 6 pages) and full papers (up to 15 pages including references and appendixes). DEXA reserves the right to accept submitted full papers only as short papers, in which papers describe interesting and innovative ideas which still require further technical development.
Any submission that significantly exceeds length limits or deviates from formatting requirements may be rejected without review.

*** SUBMISSION PROCEDURE ***
Papers submission will be managed using EquinOCS Springer Nature Conference Proceedings Submission System.
Authors should consult Springer’s authors’ instructions (https://www.springer.com/gp/computer-science/lncs/conference-proceedings…) and use the proceedings templates, either for LaTeX or for Word, for the preparation of their papers.
Once you click on the submission link (https://equinocs.springernature.com/service/DEXA2023), you will be guided to the EquinOCS Login page, which will be open in your browser. Click on the button “Submit now”. This will guide you directly to the paper submission process. If you already have an account at EquinOCS you will be asked to Login. After Login you will be guided to the start page where you can start with your submission. If you do not have an account at EquinOCS yet, please follow the registration process. Once your Account has been created, an email will be sent to the email you have stated in the registration process. Please follow the instructions in this email to activate your account and start your submission.
Please refer to EquinOCS user guide (https://support.springernature.com/en/support/solutions/articles/6000245…) for more information.

**** REVIEW PROCESS ****
Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition.
Duplicate submissions are not allowed and will be rejected immediately without further review.
Authors are expected to agree to the following terms: “I understand that the submission must not overlap substantially with any other paper that I am a co-author of or that is currently submitted elsewhere. Furthermore, previously published papers with any overlap are cited prominently in this submission.”
Questions about this policy or how it applies to a specific paper should be directed to the PC Co-chairs.

**** ACCEPTED PAPERS ****
All accepted conference papers will be published in a volume of “Lecture Notes in Computer Science” (LNCS) by Springer Verlag. Authors of all accepted papers must sign a Springer copyright release form. Papers are accepted with the understanding that at least one author will register for the conference to present the paper. Authors of selected papers presented at the conference will be invited to submit extended versions of their papers for publication in Knowledge and Information Systems (KAIS), Springer (IF = 3.161) and Transactions of Large Scale Data and Knowledge Centered Systems (TLDKS), Springer. The submitted extended versions will undergo a further review process.

**** Program Committee Chair ****
– Christine Strauss, University of Vienna, Austria
– Toshiyuki Amagasa, University of Tsukuba, Japan

Program Committees please refer to DEXA2023 website

For further inquiries, please contact dexa@iiwas.org

Lien direct

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Annonce en lien avec l’Action/le Réseau : DOING

Thème :

The workshop focuses on transforming data into information and then into knowledge. It addresses various aspects of information extraction from textual data, intelligent and efficient interrogation, and maintenance of (large) knowledge bases.

Présentation :

The workshop focuses on transforming data into information and then into knowledge. The idea is to gather researchers to discuss two main problems :

– how to extract information from textual data and represent it in knowledge bases;
– how to propose intelligent methods for handling and maintaining these databases with new forms of requests, including efficient, flexible, and secure analysis mechanisms, adapted to the user, and with quality and privacy preservation guarantees.

Du : 2023-09-04

Au : 2023-09-04

Lieu : Barcelona, Spain

Site Web : https://www.univ-orleans.fr/lifo/evenements/doing/?page_id=995

Date : 2023-09-05
Lieu : Toulouse

Séminaire de la Société Française de Photogrammétrie et Télédétection

Inscription avant le 15 septembre

Lien direct

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Suivez-nous sur Tweeter : @GDR_MADICS
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Annonce en lien avec l’Action/le Réseau :

Thème :

Machine Learning for Earth Observation Data

Présentation :

This workshop aims to be an international forum where machine learning researchers and domain experts can meet each other to exchange, debate, and draw short and long-term research objectives around the exploitation and analysis of EO and atmospheric data via Machine Learning techniques. Among the workshop’s goals, we want to give an overview of the current machine-learning research dealing with EO and other atmospheric measurement data. On the other hand, we want to stimulate concrete discussions to pave the way to new machine learning frameworks especially tailored to deal with such data.

Du : 2023-09-18

Au : 2023-09-18

Lieu : Torino, Italy, 2023

Site Web : https://sites.google.com/view/maclean23/

Date : 2023-09-19 => 2023-09-22
Lieu : Ces deux événements auront lieu du 19-22/09 à Lyon (Amphithéâtre de la délégation CNRS, 1 avenue Albert Einstein, 69100, Villeurbanne).

Nous sommes heureux d’annoncer l’organisation de deux événements susceptibles d’intéresser la communauté du GDR MADICS.

Ces deux événements seront autour des multiples facettes de l’apprentissage distribué (efficacité, sécurité, enjeux autour de la protection de la vie privée, etc.).
Il s’agit de l’école d’été du GDR RSD (réseaux et systèmes distribués) et de deux journées thématiques sur les enjeux scientifiques, éthiques, socio-économiques de l’apprentissage distribué.
Les journées thématiques seront co-organisées avec la Société Informatique de France (SIF).

Les inscriptions sont désormais ouvertes mais la date limite d’inscription est le 15/07 !

Vous pouvez vous inscrire: soit à l’école (2 jours du 19-20/09); soit aux journées thématiques (2 jours du 21-22/09); soit à la totalité de l’événement école + journées (4 jours du 19-22/09). Une réduction de 50% s’applique pour les adhérents SIF qui souhaitent s’inscrire seulement aux journées thématiques.

Plus d’informations sur l’école:
https://rsd-summer-school-distribued-learning.conf.citi-lab.fr

Les journées thématiques:
https://distribued-learning-days.conf.citi-lab.fr

Lien pour s’inscrire: https://www.azur-colloque.fr/DR07/inscription/inscription/314/fr

Au plaisir de vous retrouver nombreuses et nombreux à Lyon !
Sonia pour le comité d’organisation

Comité d’organisation

Sonia Ben Mokhtar (Laboratoire LIRIS)
Laurent Réveillère (VP Société Informatique de France)
Antoine Boutet (Laboratoire CITI)
Carole Frindel (Laboratoire Creatis)
Eddy Caron (Laboratoire LIP)

————————————————————————————————

Vous trouverez un résumé du programme ci-dessous:

Ecole d’été du GDR RSD sur l’apprentissage (distribué) pour les systèmes et les réseaux : 19-20 Septembre 2023

Nous avons la chance d’accueillir des orateurs d’exception lors de cette école:

Francis Bach (https://www.di.ens.fr/~fbach/): membre de l’Académie des sciences et expert en apprentissage statistique et optimisation.
Giovanni Neglia (http://www-sop.inria.fr/members/Giovanni.Neglia/) : porteur de la chaire IA: PERUSALS (Pervasive Sustainable Learning Systems).
Denis Trystram (https://datamove.imag.fr/denis.trystram/): porteur de la chaire IA: Edge intelligence.
Catuscia Palamidessi (http://www.lix.polytechnique.fr/~catuscia/) : porteuse d’une bourse ERC sur la sécurisation des données personnelles.
Nirupam Gupta (https://nirupam115.github.io) & Rafael Pinot (https://rpinot.github.io): chercheurs associés EPFL et experts en apprentissage distribué résilient.
Owkin : une entreprise en AI biotech qui utilise l’apprentissage distribué pour trouver des traitements personnalisés à chaque patient. Une session “hands on” sera organisée par Owkin.
Rachid Guerraoui (en remote): professeur à l’EPFL fera un exposé sur “How to Write a Bad Research Paper”.

Une session poster suivie d’un buffet dînatoire permettra aux doctorants d’échanger autour de leurs travaux.

Jeudi 21 Septembre: Journées thématiques sur l’apprentissage distribué: enjeux scientifiques
Cette journée co-organisée avec la Société Informatique de France (SIF) vise à regrouper des chercheurs de disciplines différentes faisant partie de plusieurs GDRs. L’objectif est de permettre de faire ressortir les enjeux et défis scientifiques de l’apprentissage distribué tels qu’ils sont appréhendés par différentes communautés scientifiques.

Orateurs confirmés:
[Systèmes distribués] Sara Bouchenak, INSA Lyon (https://perso.liris.cnrs.fr/sara.bouchenak/)
[Systèmes mobiles]Tamara Tosic, Orange Labs (https://www.linkedin.com/in/tamara-tosic-0601a33/)
[Optimisation] Aymeric Dieuleveut , Ecole Polytechnique (http://www.cmap.polytechnique.fr/~aymeric.dieuleveut/)
[Réseaux] Chuan XU, INRIA (https://team.inria.fr/coati/new-team-member-chuan-xu/ )
[Machine Learning] Marc Tomassi, Université de Lille (http://researchers.lille.inria.fr/tommasi/ )
[Vision par ordinateur] Stefan Dufner, INSA Lyon (http://u0016403263.user.hosting-agency.de)
[Résilience aux Byzantins] Sara Tucci, CEA, (https://www.linkedin.com/in/sara-tucci-piergiovanni-1582672?originalSubdomain=fr )
[Protection de la vie privée] Antoine Boutet, INSA Lyon (https://sites.google.com/site/antoineboutet/)
[Optimisation]Kevin Scaman, Inria Paris (https://kscaman.github.io)

Un diner offert en ville (Brasseries Georges) permettra aux participer de poursuivre les échanges entamés pendant la journée.

Vendredi 22 Septembre: Journées thématiques sur l’apprentissage distribué: enjeux éthiques et socio/économiques
Cette journée co-organisée avec la Société Informatique de France (SIF) vise à adresser les enjeux éthiques et socio-économiques de l’apprentissage distribué. Lors de cette journée, des sociologues, des juristes, des personnels de la CNIL et des entreprises seront invités à confronter leurs points de vue sur les enjeux éthiques et socio-économiques de l’apprentissage distribué.

Lien direct

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Suivez-nous sur Tweeter : @GDR_MADICS
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Date : 2023-09-24 => 2023-09-29
Lieu : Escandille – Autrans-Méaudre-en-Vercors (France)

We invite you to attend the research school on Tools on Causality (https://quarter-on-causality.github.io/tools/). It will be held at the Escandille, Autrans-Méaudre-en-Vercors, France, from September 24th to September 29th, 2023. It represents an opportunity to practice state-of-the-art causal inference algorithms.

We offer the entire board at the Escandille from Sunday, September 24th, evening, to Friday, September 29th, at noon, including a shuttle from the Grenoble train station to the Escandille on Sunday and from the Escandille to Grenoble train station on Friday.

In addition to attending the tutorials, you can present a poster describing your research work.

The contribution costs are:

350 euros for a single room
300 euros for a twin room

Please register at https://causalityschool.sciencesconf.org/registration before July 15th AoE.

We look forward to seeing you there.

---

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Suivez-nous sur Tweeter : @GDR_MADICS
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Date : 2023-09-28 => 2023-03-07
Lieu : Penang, Malaysia

***************************************************************************
We apologize if you receive multiple copies of this CFP
***************************************************************************

C A L L F O R P A P E R S

The 34th International Conference on Database and Expert Systems Applications – DEXA2023

August 28-30, 2023
Penang, Malaysia

https://www.dexa.org/dexa2023
email: dexa@iiwas.org
Papers submission: https://equinocs.springernature.com/service/DEXA2023

**** IMPORTANT DATES ****
Paper submission: 7 march 2023
Notification of acceptance: 10 May 2023
Camera-ready copies due: 1 June 2023
Conference days: 28-30 August 2023

**** PUBLICATION ****
All accepted DEXA2023 papers will be published by Springer in their Lecture Notes in Computer Science (LNCS). LNCS volumes are indexed in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science; Scopus; EI Engineering Index; Google Scholar; DBLP; etc. Selected high-quality papers, after revision and extension, will be invited to be published, in a special issue of Knowledge and Information Systems (KAIS), Springer (IF = 3.161) and Transactions of Large Scale Data and Knowledge Centered Systems (TLDKS), Springer.

**** SCOPE ****
Database, information, and knowledge systems have always been a core subject of computer science. The ever increasing need to distribute, exchange, and integrate data, information, and knowledge has added further importance to this subject. Advances in the field will help facilitate new avenues of communication, to proliferate interdisciplinary discovery, and to drive innovation and commercial opportunity. Since 1990, DEXA has been an annual international conference which showcases state-of-the-art research activities in database, information, and knowledge systems. DEXA provides a forum to present research results and to examine advanced applications in the field. The conference and its associated workshops offer an opportunity for developers, scientists, and users to extensively discuss requirements, problems, and solutions in database, information, and knowledge systems.
DEXA 2023 invites research submissions on all topics related to database, information, and knowledge systems including, but not limited to the points in the list below. We also welcome survey papers, provided that the survey fills a void or goes beyond existing overview papers.
– Acquisition, Modelling, Management and Processing of Knowledge
– Authenticity, Privacy, Security, and Trust
– Availability, Reliability and Fault Tolerance
– Big Data Management and Analytics
– Consistency, Integrity, Quality of Data
– Constraint Modelling and Processing
– Cloud Computing and Database-as-a-Service
– Database Federation and Integration, Interoperability, Multi-Databases
– Data and Information Networks
– Data and Information Semantics
– Data Integration, Metadata Management, and Interoperability
– Data Structures and Data Management Algorithms
– Database and Information System Architecture and Performance
– Data Streams, and Sensor Data
– Data Warehousing
– Decision Support Systems and Their Applications
– Dependability, Reliability and Fault Tolerance
– Digital Libraries, and Multimedia Databases
– Distributed, Parallel, P2P, Grid, and Cloud Databases
– Graph Databases
– Incomplete and Uncertain Data
– Information Retrieval
– Information and Database Systems and Their Applications
– Mobile, Pervasive and Ubiquitous Data
– Modelling, Automation and Optimisation of Processes
– NoSQL and NewSQL Databases
– Object, Object-Relational, and Deductive Databases
– Provenance of Data and Information
– Semantic Web and Ontologies
– Social Networks, Social Web, Graph, and Personal Information Management
– Statistical and Scientific Databases
– Temporal, Spatial, and High Dimensional Databases
– Query Processing and Transaction Management
– User Interfaces to Databases and Information Systems
– Visual Data Analytics, Data Mining, and Knowledge Discovery
– WWW and Databases, Web Services
– Workflow Management and Databases
– XML and Semi-structured Data

**** SUBMISSION GUIDELINES ****
Authors are invited to electronically submit original research contributions or experience reports in English. DEXA will accept submissions of both short (up to 6 pages) and full papers (up to 15 pages including references and appendixes). DEXA reserves the right to accept submitted full papers only as short papers, in which papers describe interesting and innovative ideas which still require further technical development.
Any submission that significantly exceeds length limits or deviates from formatting requirements may be rejected without review.

*** SUBMISSION PROCEDURE ***
Papers submission will be managed using EquinOCS Springer Nature Conference Proceedings Submission System.
Authors should consult Springer’s authors’ instructions (https://www.springer.com/gp/computer-science/lncs/conference-proceedings…) and use the proceedings templates, either for LaTeX or for Word, for the preparation of their papers.
Once you click on the submission link (https://equinocs.springernature.com/service/DEXA2023), you will be guided to the EquinOCS Login page, which will be open in your browser. Click on the button “Submit now”. This will guide you directly to the paper submission process. If you already have an account at EquinOCS you will be asked to Login. After Login you will be guided to the start page where you can start with your submission. If you do not have an account at EquinOCS yet, please follow the registration process. Once your Account has been created, an email will be sent to the email you have stated in the registration process. Please follow the instructions in this email to activate your account and start your submission.
Please refer to EquinOCS user guide (https://support.springernature.com/en/support/solutions/articles/6000245…) for more information.

**** REVIEW PROCESS ****
Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition.
Duplicate submissions are not allowed and will be rejected immediately without further review.
Authors are expected to agree to the following terms: “I understand that the submission must not overlap substantially with any other paper that I am a co-author of or that is currently submitted elsewhere. Furthermore, previously published papers with any overlap are cited prominently in this submission.”
Questions about this policy or how it applies to a specific paper should be directed to the PC Co-chairs.

**** ACCEPTED PAPERS ****
All accepted conference papers will be published in a volume of “Lecture Notes in Computer Science” (LNCS) by Springer Verlag. Authors of all accepted papers must sign a Springer copyright release form. Papers are accepted with the understanding that at least one author will register for the conference to present the paper. Authors of selected papers presented at the conference will be invited to submit extended versions of their papers for publication in Knowledge and Information Systems (KAIS), Springer (IF = 3.161) and Transactions of Large Scale Data and Knowledge Centered Systems (TLDKS), Springer. The submitted extended versions will undergo a further review process.

**** Program Committee Chair ****
– Christine Strauss, University of Vienna, Austria
– Toshiyuki Amagasa, University of Tsukuba, Japan

Program Committees please refer to DEXA2023 website

For further inquiries, please contact dexa@iiwas.org

Lien direct

---

Notre site web : www.madics.fr
Suivez-nous sur Tweeter : @GDR_MADICS
Pour vous désabonner de la liste, suivre ce lien.