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Morales Tirado, Alba; Daga, Enrico and Motta, Enrico
(2020).
DOI: https://doi.org/10.1007/978-3-030-61244-3_4
Abstract
Smart City systems capture and exchange information with the aim to improve public services. Particularly, healthcare data could help emergency services to plan resources and make life-saving decisions. However, the delivery of healthcare information to emergency bodies must be balanced against the concerns related to citizens’ privacy. Besides, emergency services face challenges in interpreting this data; the heterogeneity of sources and a large amount of information available represent a significant barrier. In this paper, we focus on a case study involving the use of personal health records to support emergency services in the context of a fire building evacuation. We propose a methodology involving a knowledge engineering approach and a common-sense knowledge base to address the problem of deriving useful information from health records and, at the same time, preserve citizens’ privacy. We perform extensive experiments involving a synthetic dataset of health records and a curated gold standard to demonstrate how our approach allows us to identify vulnerable people and interpret their particular needs while avoiding the disclosure of personal information.
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About
- Item ORO ID
- 72072
- Item Type
- Conference or Workshop Item
- ISBN
- 3-030-61244-9, 978-3-030-61244-3
- Extra Information
- EKAW 2020 will be part of Bolzano Summer of Knowledge 2020, together with ICBO 2020 and FOIS 2020, and more.
- Keywords
- health records; Smart City; emergency services; privacy; knowledge engineering; ConceptNet
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2020 Springer Nature Switzerland AG
- Related URLs
- Depositing User
- Alba Morales Tirado