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Auflistung nach Schlagwort "Data Spaces"

1 - 4 von 4
  • Konferenzbeitrag
    Data Spaces as Enablers for Sustainability
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Hoppe, Christoph; Schmelzer, Robert; Möller, Frederik; Schoormann, Thorsten
    One of our society's most fundamental challenges is promoting sustainable development. Data sharing across organizations is one way to spur innovation and address the Sustainable Development Goals (SDGs) through optimizing resource utilization, fostering circular supply chains, and producing accurate information about CO2 emissions. However, organizations often hesitate to share data given a range of concerns, including the fear of data misappropriation or the lack of control over what others do with their data. Data spaces as a novel artifact seek to tackle these issues by providing an integrated data management approach upholding data sovereignty. These spaces can boost sustainable development by being a secure and trusted digital infrastructure for organizations to share data for sustainable purposes. To disclose how this digital solution fosters sustainability, we present a set of 65 potentials of data spaces along with the dimensions of ecological, economic, and social sustainability.
  • Konferenzbeitrag
    Green data, green future? How data spaces enable the product carbon footprint calculation for the automotive industry: A case study on Catena-X
    (INFORMATIK 2024, 2024) Gieß, Anna; Neumann, Jenny; Jussen, Ilka; Schweihoff, Julia
    Society and politics are increasingly demanding a shift to more sustainable behavior, especially from manufacturing companies. This can be a major challenge as they face technological, regulatory, economic, supply chain, and cultural hurdles when transitioning to more sustainable practices. However, data spaces offer new ways to sharing data can help to accurately calculate CO2 emissions and develop new business models based on it. To illustrate the impact of data spaces on sustainability we considered the example of the product carbon footprint. Doing so, we analyzed public data of the automotive network Catena-X and highlighted the added value for each actor in the ecosystem using the e³value modeling language. Supplementary, we transferred our findings into business model elements (value proposition, value creation and delivery, and value capture).
  • Konferenzbeitrag
    On Data Spaces for Retrieval Augmented Generation
    (INFORMATIK 2024, 2024) Hermsen, Felix; Nitz, Lasse; Akbari Gurabi, Mehdi; Matzutt, Roman; Mandal, Avikarsha
    Large Language Models (LLMs) have revolutionized knowledge retrieval from natural language queries. However, LLMs still face challenges regarding the creation of domain-specific and accurate answers. Recently, Retrieval Augmented Generation (RAG) architecture has been proposed as one approach to addressing these challenges. While current research focuses on optimizing document retrieval and augmenting the initial query accordingly, we identify untapped potentials of RAG to retrieve knowledge from heterogeneous data sources via data spaces. In this work, we investigate three conceptual integration scenarios between RAG and data spaces. Our findings indicate that given the data space extended RAG, it could provide domain-specific information retrieval with diverse data sources. However, solutions to mitigate unintended information leakage require further consideration.
  • Konferenzbeitrag
    Towards Data Spaces for circular economy and green business value networks
    (EnviroInfo 2023, 2023) Rilling, Lukas; Schneider, Alexander; Castelli, Nico
    Circular economy (CE) has been identified by several studies as the necessary reformation of the industry to decrease the environmental impact of production in the fight against climate change. Some studies have identified the lack of technological solutions to support the move towards a circular economy where among others the digital networking and data exchange is one of the most pressing and general problems which must be solved cross-industry and cross-country. This paper therefore identifies the most important requirements for a digital infrastructure to support CE and proposes a solution that combines all these factors by using Data Space concepts and technologies as the backbone for collaboratively collecting data in form of Digital Product Passports (DPP).