A reconciliation framework for the integration of stocks and fisheries information
Marketakis, Y.; Tzitzikas, Y.; Gentile, A.; van Niekerk, B.; Taconet, M. (2022). A reconciliation framework for the integration of stocks and fisheries information, in: Proceedings of the 10th International Conference on ICT in Agriculture, Food & Environment (HAICTA 2022), September 22-25, 2022, Athens, Greece. CEUR Workshop Proceedings, : pp. 1-6
In: (2022). Proceedings of the 10th International Conference on ICT in Agriculture, Food & Environment (HAICTA 2022), September 22-25, 2022, Athens, Greece. CEUR Workshop Proceedings. Hellenic Association on Information & Communication Technologies in Agriculture, Food and Environment (HAICTA): Athens. , more
In: CEUR Workshop Proceedings. Sun SITE Central Europe: Aachen. ISSN 1613-0073, more
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Document type: Conference paper
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| Keywords |
Equipment > Fishery industry equipment > Fishing gear
Marine/Coastal |
| Author keywords |
Reconciliation, Entity Matching, Stock, Fishery, Species, Water Area |
| Authors | | Top |
- Marketakis, Y.
- Tzitzikas, Y.
- Gentile, A.
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- van Niekerk, B.
- Taconet, M.
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| Abstract |
Fisheries management relies on analyzing data using complex models and software and includes the usually manual process of identifying and combining different parts of information about stocks and fisheries, which is a time-consuming and error-prone process. Firstly because there is no single source of information but rather they are many, and secondly because there are alternative ways of modeling and referring to the same piece of information. Approaches like the Global Record of Stocks and Fisheries (GRSF), which are the result of the semantic data integration of the corresponding information from different data sources, aim to overcome such problems, by providing a unified view of the stocks and fisheries information in a homogeneous manner. In this paper, we propose a reconciliation framework ensuring that similar pieces of information from heterogeneous sources are properly connected during the construction of the semantic warehouse of GRSF. |
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