Validating a Functional Status Knowledge Graph in a Large-Scale Living Lab
Pages 416 - 433
Abstract
Functional Status Information refers to a person’s overall mental and physical health. Collecting and analyzing Function Status Information data is crucial for addressing the needs of a growing elderly population, as well as for providing effective care to those with chronic diseases, multiple health issues, or disabilities. Knowledge Graphs provide an effective method for organizing and representing Functional Status Information data in a structured way. Furthermore, they can also allow reasoning over this data to create personalized health support solutions that assist people in maintaining a healthy lifestyle and improving daily living. In this paper, we describe the integration of our Functional Status Knowledge Graph, namely FuS-KG, into a real-world application run within a large-scale living lab involving more than 4,000 people. We provide the road map of this experience including the challenges, the platform’s architecture, the focus on the knowledge layer, the evaluation and the insights observed.
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Published In
Nov 2024
505 pages
ISBN:978-3-031-77791-2
DOI:10.1007/978-3-031-77792-9
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
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Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 25 November 2024
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