Semantic Technologies in Sensor-Based Personal Health Monitoring Systems: A Systematic Mapping Study

M Nzomo, D Moodley - arXiv preprint arXiv:2306.04335, 2023 - arxiv.org
In recent years, there has been an increased focus on early detection, prevention, and
prediction of diseases. This, together with advances in sensor technology and the Internet of …

Evaluating ontology-based pd monitoring and alerting in personal health knowledge graphs and graph neural networks

N Zafeiropoulos, P Bitilis, GE Tsekouras, K Kotis - Information, 2024 - mdpi.com
In the realm of Parkinson's Disease (PD) research, the integration of wearable sensor data
with personal health records (PHR) has emerged as a pivotal avenue for patient alerting and …

[HTML][HTML] Supporting smart home scenarios using OWL and SWRL rules

R Reda, A Carbonaro, V de Boer, R Siebes… - Sensors, 2022 - mdpi.com
Despite the pervasiveness of IoT domotic devices in the home automation landscape, their
potential is still quite under-exploited due to the high heterogeneity and the scarce …

Workload categorization for hazardous industries: The semantic modelling of multi-modal physiological data

JL König, A Hinze, J Bowen - Future Generation Computer Systems, 2023 - Elsevier
The forestry industry is one of the most hazardous industries in New Zealand, and the
physical and cognitive fatigue of forestry workers has been shown to contribute to this …

[HTML][HTML] Enabling privacy-aware interoperable and quality IoT data sharing with context

TR Chhetri, CK Dehury, B Varghese, A Fensel… - Future Generation …, 2024 - Elsevier
Abstract Sharing Internet of Things (IoT) data across different sectors, such as in smart cities,
becomes complex due to heterogeneity. This poses challenges related to a lack of …

Uncovering the Semantics of PD Patients' Movement Data Collected via off-the-shelf Wearables

P Bitilis, N Zafeiropoulos, A Koletis… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Wearable sensors are used in monitoring patients with neurodegenerative diseases (ND),
such as Parkinson Disease (PD), to collect movement data for the analysis and the …

Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare Innovation

M Timilsina, S Alsamhi, R Haque… - … Conference on Big …, 2023 - ieeexplore.ieee.org
Amidst prevailing healthcare challenges, a dynamic solution emerges, fusing knowledge
graph technology, clinical trials optimization, dataspace integration, and AI innovation. This …

[HTML][HTML] AI-enabled legacy data integration with privacy protection: a case study on regional cloud arbitration court

J Song, H Fu, T Jiao, D Wang - Journal of Cloud Computing, 2023 - Springer
This paper presents an interesting case study on Legacy Data Integration (LDI for short) for a
Regional Cloud Arbitration Court. Due to the inconsistent structure and presentation, legacy …

Data Reduction Techniques in Wireless Sensor Networks with AI

GD Arora, NK Chopra, N Gopinath… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
Due to their numerous uses in practically every part of life and their related problems, such
as energy saving, a longer life cycle, and better resource usage, the research of wireless …

Integration of heterogeneous data sources and automated reasoning in healthcare and domotic IoT systems

R Reda - 2023 - amsdottorato.unibo.it
In recent years, IoT technology has radically transformed many crucial industrial and service
sectors such as healthcare. The multi-facets heterogeneity of the devices and the collected …