Data di Pubblicazione:
2015
Abstract:
Earth science disciplines have imaginary borders.
Earth systems are connected and work integrally. Therefore for
geosciences researchers it is critical to find, analyze and publish
data across domains. Unfortunately, while searching for and
accessing enormous amount of heterogeneous data, scientists and
professionals often tackle various types of obstacles that hinder
their daily activity. Based on a survey on international initiatives
in the field of Hydro-Meteorological research, the paper presents
a lightweight approach to answer weather-data issues related
to data accessing and retrieving, as well as it briefly describe
the OGC proposal to cope with interoperability requirements
and introduces a technical solution to deal with high volumes of
Hydro-Meteorological sensor data.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Hydro-Meteorological Data; sensors data; georeferenced mashup; interoperability data issues; Hadoop/MapReduce
Elenco autori:
Paschina, Giacomo; Quarati, Alfonso; Clematis, Andrea
Link alla scheda completa:
Titolo del libro:
2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing