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  • P314 - INFORMATIK 2021 - Computer Science & Sustainability
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Blueprint for a Production-Ready Information Retrieval System based on Multi-Modal Embeddings 

INFORMATIK 2021 Ebert, André; Apel, Anika; Chodyko, Piotr; Hiroyasu, Kyle; Ismali, Festina; Koo, Hyein; Kronburger, Julia; Pesch, Robert
Deep Learning models for mapping documents from different domains, e.g., text, images, and audio, into a common vector space, enable a seamless information retrieval between the different domains and, thus, significantly improve the user experience of many expert tools. Despite various models for multi-modal mappings ...

Towards Augmenting Metadata Management by Machine Learning 

INFORMATIK 2021 Kern, Christopher Julian; Schäffer, Thomas; Stelzer, Dirk
Managing metadata is an important section of master data management. It is a complex, comprehensive and labor-intensive task. This paper explores whether and how metadata management can be augmented by machine learning. We deduce requirements for managing metadata from the literature and from expert interviews. We also ...

Innovation by Information Technology Recombination: How Artificial Intelligence Progressive Web Apps Foster Sustainable Development 

INFORMATIK 2021 Fukas, Philipp; Thomas, Oliver
Artificial Intelligence (AI) and Progressive Web Apps (PWAs) represent two major trends in today’s development of modern information systems. AI aims to automate intelligent behaviour whereas PWAs aim to provide fast, reliable, and engaging applications. The influence of these two key technologies on organisations and ...

Paving the road to a circular textile economy with AI 

INFORMATIK 2021 Rudisch, Katharina; Jüngling, Sebastian; Carrillo Mendoza, Ricardo; Woggon, Ulrike K.; Budde, Ina; Malzacher, Mario; Pufahl, Karsten
The textile industry has a detrimental impact on the environment and faces challenges to meet climate and environmental goals. The core problem is its linear system where only a small fraction of used garments is reused or recycled. To facilitate recycling of textiles, a sorting method is proposed that provides the ...

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Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.

 

 

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Author

Apel, Anika (1)Budde, Ina (1)Carrillo Mendoza, Ricardo (1)Chodyko, Piotr (1)Ebert, André (1)Fukas, Philipp (1)Hiroyasu, Kyle (1)Ismali, Festina (1)Jüngling, Sebastian (1)Kern, Christopher Julian (1)... View More

Subject

Artificial Intelligence (4)
Chemometrics (1)Circular Economy (1)Data-Science to Production (1)Deep Learning (1)Image-to-Text (1)Information Retrieval (1)Machine Learning (1)Master Data (1)Metadata Management (1)... View More

Date Issued

2021 (4)

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Yes (4)

About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.