Automating IoT Data Privacy Compliance by Integrating Knowledge Graphs With Large Language Models

Συγγραφείς: Kelvin U. Echenim, Karuna P. Joshi

Πηγή: IEEE Access, Vol 13, Pp 118438-118451 (2025)

Θεματικοί όροι: IoT, UMBC Cybersecurity Institute, Internet of Things, FOS: Law, Data privacy compliance, UMBC KNowlege, Analytics, Cognitive and Cloud Computing (KnACC) Lab, semantic interoperability, UMBC Ebiquity Researh Group, TK1-9971, regulatory compliance automation, Cognition, knowledge graphs, wearables, Privacy, Knowledge graphs, large language models, Electrical engineering. Electronics. Nuclear engineering, Large language models, Law, Data privacy, Accuracy, General Data Protection Regulation, UMBC Knowledge, Analytics, Cognitive and Cloud Computing (KnACC) lab, Regulation

Σύνδεσμος πρόσβασης: https://doaj.org/article/6e4966b153f144c3a6b322e1eb8bcabc

Global Relevance of Online Health Information Sources: A Case Study of Experiences and Perceptions of Nigerians

Συγγραφείς: Clark, Ommo, Joshi, Karuna, Reynolds, Tera L.

Θεματικοί όροι: case study, UMBC Cybersecurity Institute, UMBC Consumer heAlth infoRmatics for Engagement (CARE), Nigeria, oneline health information sources, UMBC Ebiquity Research Group, UMBC KNowlege, Analytics, Cognitive and Cloud Computing (KnACC) Lab, UMBC Knowledge, Analytics, Cognitive and Cloud Computing (KnACC) lab