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Toward the creation of an ontology for the coupling of atmospheric electricity with biological systems.
Savoska, Snezana; Fdez-Arroyabe, P; Cifra, M; Kourtidis, K; Rozanov, E; Nicoll, K; Dragovic, S; Mir, L M.
Affiliation
  • Savoska S; University St. Kliment Ohridski Bitola, Bitola, Republic of North Macedonia. snezana.savoska@uklo.edu.mk.
  • Fdez-Arroyabe P; Geography and Planning Department, Universidad de Cantabria, 39005, Santander, Spain.
  • Cifra M; Institute of Photonics and Electronics of the Czech Academy of Sciences, Prague, Czechia.
  • Kourtidis K; Environmental and Networking Technologies and Applications Unit (ENTA), Athena Research and Innovation Center, Xanthi, Greece.
  • Rozanov E; Demokritus University of Thrace, Xanthi, Greece.
  • Nicoll K; PMOD/WRC and IAC ETHZ, Davos, Switzerland.
  • Dragovic S; Department of Meteorology, University of Reading, Reading, UK.
  • Mir LM; Vinca Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia.
Int J Biometeorol ; 65(1): 31-44, 2021 Jan.
Article in En | MEDLINE | ID: mdl-33236243
ABSTRACT
Atmospheric electric fields (AEFs) are produced by both natural processes and electrical infrastructure and are increasingly recognized to influence and interfere with various organisms and biological processes, including human well-being. Atmospheric electric fields, in particular electromagnetic fields (EMFs), currently attract a lot of scientific attention due to emerging technologies such as 5G and satellite internet. However, a broader retrospective analysis of available data for both natural and artificial AEFs and EMFs is hampered due to a lack of a semantic approach, preventing data sharing and advancing our understanding of its intrinsic links. Therefore, here we create an ontology (ENET_Ont) for existing (big) data on AEFs within the context of biological systems that is derived from different disciplines that are distributed over many databases. Establishing an environment for data sharing provided by the proposed ontology approach will increase the value of existing data and facilitate reusability for other communities, especially those focusing on public health, ecology, environmental health, biology, climatology as well as bioinformatics.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electricity / Electromagnetic Fields Type of study: Observational_studies Limits: Humans Language: En Journal: Int J Biometeorol Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Electricity / Electromagnetic Fields Type of study: Observational_studies Limits: Humans Language: En Journal: Int J Biometeorol Year: 2021 Document type: Article