Methods and Tools for Supporting the Integration of Stocks and Fisheries
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.
KeywordsFish stock Fishery Semantic data integration Data publication Data normalization
This work has received funding from the European Union’s Horizon 2020 research and innovation programme under the BlueBRIDGE project (Grant agreement No 675680).
- 2.Tzitzikas, Y., et al.: Towards a global record of stocks and fisheries. In: 8th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2017), Chania, Crete Island, Greece, pp. 328–340 (2017)Google Scholar
- 5.Candela, L., Castelli, D., Manzi, A., Pagano, P.: Realising virtual research environments by hybrid data infrastructures: the D4Science experience. In: International Symposium on Grids and Clouds (ISGC), vol. 210, p. 022 (2014)Google Scholar
- 6.Nedelec, C., Prado, J.: Definition and classification of fishing gear categories. FAO Fisheries Technical Paper 222 (1990)Google Scholar
- 8.Tzitzikas, Y., et al.: MatWare: constructing and exploiting domain specific warehouses by aggregating semantic data. In: Presutti, V., d’Amato, C., Gandon, F., d’Aquin, M., Staab, S., Tordai, A. (eds.) ESWC 2014. LNCS, vol. 8465, pp. 721–736. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07443-6_48CrossRefGoogle Scholar