Annotated Domain Ontologies for the Visualization of Heterogeneous Manufacturing Data

Alm, Rebekka; Aehnelt, Mario; Hadlak, Steffen; Urban, Bodo

doi:10.1007/978-3-319-20612-7_1

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…This knowledge is derived from and presented as ontology-based annotations. A first development stage of the ontology model can be found in Alm et al [3].…”

Section: Related Workmentioning

confidence: 99%

Processing manufacturing knowledge with ontology-based annotations and cognitive architectures

Alm

Aehnelt

Urban

2015

Proceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business

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Advanced manufacturing promises an evolution of industrial production processes. However, today's manufacturing systems lack a common strategy on how to combine factual, procedural, and conceptual knowledge in order to streamline production processes. This specifically applies for manufacturing assembly assistance where the major share of procedural and conceptual knowledge is not yet automatically processable. In our paper we propose the usage of ontology-based annotations as missing link between the tacit knowledge of the worker and the intelligent assistance system. We show the deeper integration of conceptual knowledge modeled in ontology-based annotations with procedural knowledge in cognitive architectures. Additionally, in our approach annotations act as a mean of communication between the workers and with the system. We show key aspects of a prototypical integration of our approach within a smart assembly assistance system which supplies the worker with task related information

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“…This knowledge is derived from and presented as ontology-based annotations. A first development stage of the ontology model can be found in Alm et al [3].…”

Section: Related Workmentioning

confidence: 99%

Processing manufacturing knowledge with ontology-based annotations and cognitive architectures

Alm

Aehnelt

Urban

2015

Proceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business

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“…This digital twin contains 3D objects which represent rooms, patients, staff, and inventory, each at their current position. The conceptual approach for this was introduced by Alm et al [3]. The data behind these 3D objects is displayed as either short information or detailed information.…”

Section: B View Modelmentioning

confidence: 99%

Health@Hand A Visual Interface for eHealth Monitoring

Nonnemann

Haescher

Aehnelt

et al. 2019

2019 IEEE Symposium on Computers and Communications (ISCC)

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The digitization within the healthcare sector is an extensive topic for multiple ICT technologies, such as Cloud Computing, Internet of Things (IoT), and Artificial Intelligence. Over the past years, there has been an increasing interest in the storage, evaluation and visual representation of medical data. This led to a substantial amount of independent eHealth technologies, that are primarily concerned with information gathering and management. However, the multitude of existing tools makes it is difficult for the user to understand global relationships between different management systems. Therefore, we present Health@Hand an IoT system for monitoring vital and administrative data in the digital twin of an intensive care unit (ICU). The main goal of our system is to summarize and process real-time data in order to assist medical experts such as physician, head-nurses or controllers in their daily tasks. Health@Hand achieves this by providing a visual interface for the management and analysis of different medical data sources.

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Annotated Domain Ontologies for the Visualization of Heterogeneous Manufacturing Data

Cited by 2 publications

References 8 publications

Processing manufacturing knowledge with ontology-based annotations and cognitive architectures

Processing manufacturing knowledge with ontology-based annotations and cognitive architectures

Health@Hand A Visual Interface for eHealth Monitoring

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