Conférences  >  Informatique  >  Gestion des connaissances, Big Data Computing  >  Allemagne

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1
Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling
11 jui 2023 - 17 jui 2026 • Oberwolfach, Allemagne
Organisateur:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Identifiant de l'évènement:
1494937
2
Forschungstreffen — dblp + DFG Projekt "Unknown Data"
04 jan 2024 - 05 jan 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
Research data is essential to facilitate scientific progress, yet, many valuable datasets are hidden on web sites and small repositories or are hard to find due to insufficient metadata. Only a fraction of researchers pro-actively share dataset metadata through public portals, and curation of such metadata collections is costly. Unknown Data will provide means to automatically discover, extract, and publish metadata about research data that is hidden on the Web or in scholarly publications. Thus, the project’s goal is to improve findability and re-usability of research data by (a) improving metadata quality, in particular with respect to authority and use of existing datasets and (b) uncovering datasets that are not yet reflected in public data repositories and registries.
Identifiant de l'évènement:
1565545
3
Dagstuhl-Seminar — Are Knowledge Graphs Ready for the Real World? Challenges and Perspective
04 fév 2024 - 09 fév 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
Graphs and knowledge bases have been around for many decades, and research outcomes have tremendously impacted areas like mathematics, artificial intelligence, and databases. However, despite being already coined by the scientific community, technological developments and astronomical data growth make knowledge graph management a fundamental topic nowadays in various computer science areas, supporting novel applications at the science (e.g., biomedicine) and industry (e.g., Google’s Knowledge Graph) level.
Identifiant de l'évènement:
1565601
4
Dagstuhl-Seminar — Beyond-Planar Graphs: Models, Structures and Geometric Representations
04 fév 2024 - 09 fév 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
Many big data sets in various application domains have complex relationships, which can be modelled as graphs, consisting of entities and relationships between them. Consequently, graphs are extensively studied in both Mathematics and Computer science. In particular, planar graphs, which can be drawn without edge crossings in the plane, form a distinguished role in Graph Theory and Graph Algorithms. Many structural properties of planar graphs are investigated, in terms of excluded minors, low density, and small separators, which lead to efficient algorithms for planar graphs. Consequently, fundamental algorithms for planar graphs have been discovered. However, most real-world graphs, such as social networks and biological networks, are nonplanar. For example, the scale-free networks, which are used to model web graphs, social networks and biological networks, are globally sparse nonplanar graphs, with locally dense clusters and low diameters. To understand such real-world networks, we need to solve fundamental mathematical and algorithmic research questions on beyond-planar graphs, which generalize the notion of planar graphs, in terms of topological constraints or forbidden edge crossing patterns.
Identifiant de l'évènement:
1565699
5
Applied Harmonic Analysis and Data Science
21 avr 2024 - 26 avr 2024 • Oberwolfach, Allemagne
Organisateur:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Identifiant de l'évènement:
1529570
6
Dagstuhl Research Meeting — Aligning Technology Architectures with Cross-Domain Metadata Models
06 oct 2024 - 11 oct 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
Data-sharing across domain and infrastructure boundaries is becoming more common, and significant work has been done in aligning many of the standard model describing the information and data being exchanged. In order to guarantee the scalability and practicality of data-sharing implementations, these standard models need to be aligned with the emerging technology architectures designed to support exchange networks at this scale. This workshop will look at how the standard metadata models for cross-domain use - including DDI-CDI and related models - and architectural approaches can best be used to leverage the strengths of both.
Identifiant de l'évènement:
1566297
7
Dagstuhl Research Meeting — Evaluating and Refining Cross-Domain Metadata Exchange Frameworks
13 oct 2024 - 18 oct 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
Through a series of Dagstuhl hosted workshops, and the CODATA-DDI collaboration, we have developed a framework for cross-domain interoperability, published by the EC-funded WorldFAIR project. This framework is being employed both within data intensive science and and between the scientific world and the world of official data, collected to inform policy making, including in relation to the Sustainable Development Goals and other components of the UN Agenda. The effective use and uptake of such a framework will require methodologies to evaluate implementations. This workshop will explore such approaches, building on current work for FAIR assessment, and the experience gained from implementation in a range of case studies, including those in WorldFAIR. The workshop will focus on improvements to evaluation metrics, and to the metadata exchange frameworks themselves.
Identifiant de l'évènement:
1566274
8
Dagstuhl Research Meeting — A long-term strategy for NFDI for DataScience and Artificial Intelligence
28 oct 2024 - 29 oct 2024 • Schloss Dagstuhl, Wadern, Allemagne
Organisateur:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Résumé:
The vision of NFDI4DS is to support all steps of the complex and interdisciplinary research data lifecycle in Data Science and Artificial Intelligence. The overarching objective of NFDI4DS is the development, establishment, and sustainment of a national research data infrastructure for the Data Science and Artificial Intelligence community. The key idea is to work towards increasing the transparency, reproducibility and fairness of Data Science and Artificial Intelligence projects, by making all digital artifacts available, interlinking them, and offering innovative tools and services. Within this Dagstuhl Research Meeting, the NFDI4DS partners will reflect on their progress so far, and will work on their long-term strategy.
Identifiant de l'évènement:
1566251


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Dernière mise à jour: 23 juillet 2023