Biodiversity Information Science and Standards : Conference Abstract
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Corresponding author: Evangelia Drakou (e.drakou@utwente.nl)
Received: 20 May 2019 | Published: 02 Jul 2019
© 2019 Evangelia Drakou, Rob Lemmens, Febriani Ayuningshih
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Drakou E, Lemmens R, Ayuningshih F (2019) Designing an Ecosystem Services Ontology within GEOBON. Biodiversity Information Science and Standards 3: e36338. https://doi.org/10.3897/biss.3.36338
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Assessing, mapping and quantifying ecosystem services is a growing priority within local, national and international policy and decision-making processes. That requires robust and scientifically sound data and information on biodiversity, including ecological and socio-economic aspects that interact within the social-ecological systems. Ecosystem services are quantified and mapped across spatio-temporal scales, socio-political contexts and for different policy objectives, which leads to an immense variety of approaches, methods, tools, modelling and mapping outputs. Within the Group on Earth Observation-Biodiversity Observation Network (GEOBON) working group on Ecosystem Services (https://geobon.org/ebvs/ecosystem-services/), we acknowledge the significance of maintaining this diversity, but also the need to bring these different approaches together, to improve data and information sharing across a broad range of scientific fields. Given the high diversity of topics, terms, and classification frameworks that exist, harmonizing everything under one core set of data standards proved to be both a challenge and a questionable option in terms of usability. We therefore work towards developing and proposing an ontological system that can be used for monitoring ecosystem services across space and time. We designed ESOnto, the ecosystem services ontology, which uses the principles of Linked Data (
Although the need for setting up data standards for ecosystem services has been expressed among researchers (
ontology, data standards, ecosystem services, linked data, SPARQL
Rob Lemmens
Biodiversity_Next 2019