Toward the creation of an ontology for the coupling of atmospheric electricity with biological systems
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SPECIAL ISSUE: ATMOSPHERIC ELECTRICITY AND BIOMETEOROLOGY
Toward the creation of an ontology for the coupling of atmospheric electricity with biological systems Snezana Savoska 1
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& P. Fdez-Arroyabe & M. Cifra & K. Kourtidis
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& E. Rozanov & K. Nicoll & S. Dragovic & L. M. Mir
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Received: 14 October 2019 / Revised: 3 November 2020 / Accepted: 8 November 2020 # ISB 2020
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. Keywords Ontology . Atmospheric electric fields (AEF) . Biological systems . Exposome
Introduction There is an increasing scientific interest in atmospheric electric fields (AEFs) and their influence on biological systems, focusing on the coupling of atmospheric electricity with the Earth System, its meteorology and climate, as well as various organisms and biological processes. This involves various researchers and institutes from multiple disciplines. As a result, data from a wide array of natural atmospheric electric phenomena and interactions with various organisms and levels of biological organization are collected in many databases
* Snezana Savoska [email protected] 1
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(ECA data 2019). This data is usually stored as big data with 6 V’s characteristics (volume, velocity, variety, value, variability and veracity) with many intended purposes, such as dynamic and volume demands. However, with information quality and quantity steadily rising, we begin to face problems such as a lack of data sharing and reusing, as well as an inability of creating domain knowledge. Recent approaches for data analysis point out the need for an application with embedded data standards and ontologydriven computing to improve data re-usage and data integration using computer-readable structures. For example, Google
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Demokritus University of Thrace, Xanthi, Greece
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PMOD/WRC and IAC ETHZ, Davos, Switzerland
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Department of Meteorology, University of Reading, Reading, UK
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