Conferences  >  Informatics  >  Information & Knowledge Management, Big Data Computing  >  Germany

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The Autumn School for Information Retrieval and Information Foraging (ASIRF) focuses on recent developments in Information Retrieval and Information-Seeking behavior and their applications. Information Retrieval deals with searching in huge amounts of unstructured data. In many professional fields of work and everyday life, access to text data via search engines is one of the most important forms of access to knowledge. Information Foraging aims to model the entire process from the awareness of an information problem through selecting appropriate information sources to the actual search.

Students and lecturers will live together for a week at Schloss Dagstuhl, which guarantees the school's traditionally highly communicative and interactive atmosphere. The intended audience of ASIRF are doctoral students and young researchers working in Information Retrieval, Information Foraging, or using concepts or methods from these fields in their research

Events for IT Students and Early Career Researchers,    Database Technology and Design, Search Engines and Data Mining

Deutsche Gesellschaft für Information und Wissen e.V. mit Unterstützung der Martin-Luther-Universität Halle-Wittenberg

Mit dem Thema der Tagung Prozesse des Verstehens – Verstehen der Prozesse. Wissenschaft zur Sprache bringen wollen wir einen interdisziplinären Austausch über Sprache als Schlüssel zu Erkenntnis, Vermittlung und Innovation ermöglichen.

Konferenzsekretariat; Margarit Reibel-Felten, DGI, Windmühlstraße 3, 60329 Frankfurt am Main;     Phone: [06151997117];     Email: wittenberg2025@dgi-info.de

DGI, Deutschdidaktik, Sprache, Lehre, Interdisziplinarität, Informationskompetenz, Artificial Intelligence, Informationswissenschaft

The biennial ECSQARU conferences (www.ecsqaru.org/) constitute a major forum for advances in the theory and practice of reasoning under uncertainty, with a focus on bringing symbolic and quantitative aspects together. Contributions come from researchers interested in advancing the scientific knowledge and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.

entwickler.de Akademie | Software & Support Media GmbH

Die Teilnehmenden lernen hier Wege zur Realisierung dynamischer Cloud-Native-Architekturen, Container Application Design, Logging/Monitoring/Alerting, Container Native Storage und Möglichkeiten zur UI-Integration. Ebenso werden typische Konzepte aktueller Container-Manager aufgezeigt und vermittelt, wie sich damit für größere Webanwendungen gängige Qualitätsanforderungen realisieren lassen. Zusätzlich werden bekannte Cloud-Anbieter klassifiziert, Möglichkeiten zur Automatisierung aufgezeigt, Ansätze der Softwareentwicklung und des Application Lifecycle besprochen.

entwickler.de Akademie;     Email: info@entwickler-akademie.de

Infrastruktur, Container und Cloud Native, iSAQB, Schulung, Trainer, Fortbildung, Weiterbildung, Software-Architecture, Camp, Advanced, Credits, loud-Native-Architekturen, Container Application Design, Logging/Monitoring/Alerting, Container Native Storage, UI-Integration

Distributed, Edge and Cloud Computing,    Embedded Systems & Ubiquitous Computing, RFIDs

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

More and more, we find that the provenance of data is a key missing ingredient in the information set made available to us. Provenance - the origination and intention of data as collected - provides significant challenges for modern networks. While standards exist for describing data and its analysis - and even for parts of the provenance chain - there is no standard mechanism for tying together all relevant information across the series of steps which fully describe the origination of data. This workshop explores how the many contextualising factors needed to support responsible and accurate data reuse can be described, allowing for the needed chaining of provenance steps.