Data sharing in industry 4.0-automationML, B2MML and international data spaces-based solutions
The concept of a data ecosystem and Industry 4.0 requires high-level vertical and horizontal
interconnectivity across the entire value chain. Its successful realization demands …
interconnectivity across the entire value chain. Its successful realization demands …
Conceptual Framework and Prospective Analysis of EU Tourism Data Spaces
This article delves deeply into the burgeoning field of Tourism Data Spaces (TDS) in Europe,
focusing on how technologies like Big Data and IoT are redefining the tourism sector. This …
focusing on how technologies like Big Data and IoT are redefining the tourism sector. This …
Responsible knowledge management in energy data ecosystems
This paper analyzes the challenges and requirements of establishing energy data
ecosystems (EDEs) as data-driven infrastructures that overcome the limitations of currently …
ecosystems (EDEs) as data-driven infrastructures that overcome the limitations of currently …
Data sovereignty for AI pipelines: lessons learned from an industrial project at Mondragon corporation
The establishment of collaborative AI pipelines, in which multiple organizations share their
data and models, is often complicated by lengthy data governance processes and legal …
data and models, is often complicated by lengthy data governance processes and legal …
[PDF][PDF] Anticipating Energy-driven Crises in Process Industry by AI-based Scenario Planning.
Power outages and fluctuations represent serious crisis situations in energy-intensive
process industry like glass and paper production, where substances such as oil, gas, wood …
process industry like glass and paper production, where substances such as oil, gas, wood …
The Interplay of Data-Driven Organizations and Data Spaces: Unlocking Capabilities for Transforming Organizations in the Era of Data Spaces
M Hupperz, A Gieß - 2024 - scholarspace.manoa.hawaii.edu
This research paper highlights the relationship between data-driven organizations and data
spaces and focuses on unlocking capabilities that can be used to transform organizations …
spaces and focuses on unlocking capabilities that can be used to transform organizations …
[HTML][HTML] Discovering data spaces: A classification of design options
Technical coordination between organizations and security concerns are among the major
barriers to data sharing. Data spaces are an emerging digital infrastructure that helps …
barriers to data sharing. Data spaces are an emerging digital infrastructure that helps …
A Review of Emerging Trends in Energy Data Management Systems
V Karagiannis, B Nagy, A Jodkowski… - … on Internet of Things …, 2024 - ieeexplore.ieee.org
The integration of the Internet of Things (IoT) into various sectors, such as manufacturing,
healthcare, agriculture, and transportation, has significantly enhanced the ability to gather …
healthcare, agriculture, and transportation, has significantly enhanced the ability to gather …
Towards standardized manufacturing as a service through asset administration shell and international data spaces connectors
MA Iñigo, J Legaristi, F Larrinaga… - IECON 2022–48th …, 2022 - ieeexplore.ieee.org
This paper presents an industrial scenario that simulates a Manufacturing as a Service
system for the execution of remote production orders built upon the implementation of …
system for the execution of remote production orders built upon the implementation of …
[HTML][HTML] Integrating Knowledge Graphs with symbolic AI: The path to interpretable hybrid AI systems in medicine
Abstract Knowledge Graphs (KGs) are graph-based structures that integrate heterogeneous
data, capture domain knowledge, and enable explainable AI through symbolic reasoning …
data, capture domain knowledge, and enable explainable AI through symbolic reasoning …