RT Journal Article
T1 Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens
A1 Ríos Viqueira, José Ramón
A1 Villarroya Fernández, Sebastián
A1 Mera Pérez, David
A1 Taboada González, José Ángel
K1 Smart data
K1 Semantic web
K1 Environmental data
K1 Geospatial data
K1 Linked data
K1 Semantic integration
K1 Open data
AB The monitoring and forecasting of environmental conditions is a task to which much effort and resources are devoted by the scientific community and relevant authorities. Representative examples arise in meteorology, oceanography, and environmental engineering. As a consequence, high volumes of data are generated, which include data generated by earth observation systems and different kinds of models. Specific data models, formats, vocabularies and data access infrastructures have been developed and are currently being used by the scientific community. Due to this, discovering, accessing and analyzing environmental datasets requires very specific skills, which is an important barrier for their reuse in many other application domains. This paper reviews earth science data representation and access standards and technologies, and identifies the main challenges to overcome in order to enable their integration in semantic open data infrastructures. This would allow non-scientific information technology practitioners to devise new end-user solutions for citizen problems in new application domains
PB MDPI
YR 2020
FD 2020
LK http://hdl.handle.net/10347/23700
UL http://hdl.handle.net/10347/23700
LA eng
NO Viqueira, J.R.R.; Villarroya, S.; Mera, D.; Taboada, J.A. Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens. Appl. Sci. 2020, 10, 856
NO This research was co-funded by (i) the TRAFAIR project (2017-EU-IA-0167), co-financed by the Connecting Europe Facility of the European Union, (ii) the RADAR-ON-RAIA project (0461_RADAR_ON_RAIA_1_E) co-financed by the European Regional Development Fund (ERDF) through the Iterreg V-A Spain-Portugal program (POCTEP) 2014-2020, and (iii) the Consellería de Educación, Universidade e Formación Profesional of the regional government of Galicia (Spain), through the support for research groups with growth potential (ED431B 2018/28)
DS Minerva
RD 4 may 2026