Publication Date:
2019
abstract:
The collation of information for the monitoring of fish stocks and fisheries is a difficult and time-consuming task, as the information is scattered across different databases and is modelled using different formats and semantics. Our purpose is to offer a unified view of the existing stocks and fisheries information harvested from three different database sources (FIRMS, RAM and FishSource), by relying on innovative data integration and manipulation facilities. In this paper, we describe the building blocks in terms of methods and software components that are necessary for integrating stocks and fisheries data from heterogeneous data sources.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Fish stock; Fishery; Semantic data integration; Data publication; Data normalization
List of contributors:
Perciante, Costantino; Pagano, Pasquale; Candela, Leonardo; Mangiacrapa, Francesco; Castelli, Donatella
Book title:
Information and Communication Technologies in Modern Agricultural Development