Document of bibliographic reference 357888

BibliographicReference record

Type

Bibliographic resource

Type of document

Book chapters

Type of document

Conference paper

BibLvlCode

AMS

Title

A reconciliation framework for the integration of stocks and fisheries information

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.

Bibliographic citation

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

Topic

Marine

Access rights

open access

Is accessible for free

true