Projects from Prof. Dr. Axel-Cyrille Ngonga Ngomo

Transregional Collaborative Research Centre 318

36 projects were found
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FROCKG: Fact Checking for Large Enterprise Knowledge Graphs

Duration: 01/2020 - 12/2022

Funded by: BMBF

DAIKIRI: Diagnostische KI für industrielle Daten

Das Forschungsprojekt DAIKIRI zielt auf die erstmalige Entwicklung und Verwendung von automatischen Verfahren für die Semantifizierung von industriellen Daten und die datengetriebene Diagnose von Industrieanlagen ab. Mit Hilfe dieser Verfahren sollen diagnostische selbsterklärende Smart-Services für Industriedaten entwickelt und mit Daten aus ...

Duration: 01/2020 - 06/2022

Funded by: BMBF

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KnowGraphs: Knowledge Graphs at Scale

Duration: 10/2019 - 09/2023

Funded by: EU

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RAKI: Rapide XAI for Industrial Plants

Funding programBMWK, Grant Number 01MD19012D (https://www.digitale-technologien.de/DT/Navigation/DE/ProgrammeProjekte/AktuelleTechnologieprogramme/Smarte_Datenwirtschaft/smarte-datenwirtschaft.html)

Duration: 09/2019 - 08/2022

Funded by: BMWK

CoCo: Cognitive Commerce

Duration: 04/2019 - 08/2019

Funded by: BMBF

DATEV: Cooperation with DATEV eG

Duration: 10/2018 - 05/2021

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SAGE: Semantic Geospatial Analytics

Duration: 08/2017 - 07/2020

Funded by: EU

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OPAL: Portal zur Nutzung offener Daten (Open Data Portal Germany)

ProblemIn many areas of daily life, data is collected and made available. Examples include weather and climate data, information about road traffic or public transport. These data are increasingly being provided as open data in corresponding online portals, but are partly available in different formats and difficult to link. This makes it difficult ...

Duration: 07/2017 - 12/2020

Funded by: BMDV

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SOLIDE: Sprachgesteuerte, kontextuelle Lagebildinformation für Stäbe und Einsatzkräfte im Bevölkerungsschutz

Duration: 07/2017 - 06/2020

Funded by: BMBF

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LIMBO: Linked Data Services for Mobility

In open-data portals, such as the mCLOUD, citizens, researchers and entrepreneurs have access to a large number of datasets. Many of these data on the topics of weather or traffic are usually unstructured and not related to each other. The use of the available data requires expert knowledge and complicates the machine processing of the ...

Duration: 06/2017 - 05/2020

Funded by: BMDV