Pregled bibliografske jedinice broj: 748257
Building the Semantic Web for Earth Observations
Building the Semantic Web for Earth Observations // Proceedings of DailyMeteo.org/2014 Conference / Bajat, Branislav ; Kilibarda, Milan (ur.).
Beograd: Faculty of Civil Engineering, University of Belgrade, 2014. str. 76-81 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 748257 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Building the Semantic Web for Earth Observations
Autori
Baučić, Martina ; Medak, Damir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of DailyMeteo.org/2014 Conference
/ Bajat, Branislav ; Kilibarda, Milan - Beograd : Faculty of Civil Engineering, University of Belgrade, 2014, 76-81
ISBN
978-86-7518-169-9
Skup
DailyMeteo.org/2014 Conference
Mjesto i datum
Beograd, Srbija, 26.06.2014. - 27.06.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Earth observations; Sensor Web; Semantic Web; meteorology; ontology; RDF data model
Sažetak
The growth in number of Earth sensors and increase in data volumes have raised a problem of observations integration, data analysis and reasoning over the integrated data. The two initiatives are building an interoperable environment for Earth observations: the Sensor Web Enablement and the Semantic Sensor Web. The standards for web services and observation encodings are resolving syntactic interoperability between sensors. The Semantic Web standards are enriching observations with description of data semantics and thus improving data integration. The paper demonstrates the building of Semantic Web for Earth observation data. It explains development of meteorological data ontology and provides an example of transforming meteorological data into Resource Description Framework data model. Although at the very beginning, the current implementations have proved the Semantic Web as an emerging technology for Earth observations integration and web computational modelling.
Izvorni jezik
Engleski
Znanstvena područja
Geologija, Geodezija, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet građevinarstva, arhitekture i geodezije, Split