Abstract
The paper reports on activities carried within the Agrisemantics Working Group of the Research Data Alliance (RDA). The group investigated on what are the current problems research and practitioners experience in their work with semantic resources for agricultural data and elaborated the list of requirements that are the object of this paper. The main findings include the need to broaden the usability of tools so as to make them useful and available to the variety of profiles usually involved in working with semantics resources; the need to online platform to lift users from the burden of local installation; and the need for services that can be integrated in workflows. We further analyze requirements concerning the tools and services and provide details about the process followed to gather evidence from the community.
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References
Haav, H., Kungas, P.: Semantic data interoperability: the key problem of big data. In: Big Data Computing. CRC Press (2014)
Villa, F., Balbi, S., Athanasiadis, I., Caracciolo, C.: Semantics for interoperability of distributed data and models: foundations for better-connected information. F1000Research 6 (2017). https://f1000research.com/articles/6-686/v1. Accessed 7 Feb 2019. (version 1; referees: 1 approved with reservations)
Aubin, S., Caracciolo, C., Zervas, P.: Landscaping the Use of Semantics to Enhance the Interoperability of Agricultural Data. Agrisemantics Working Group. https://www.rd-alliance.org/deliverable-1-landscaping. Accessed 22 Aug 2018
Shvaiko, P., Euzenat, J.: Ontology matching: state of the art and future challenges. IEEE Trans. Knowl. Data Eng. 25, 1 (2013). https://doi.org/10.1109/TKDE.2011.253
Wilkinson, M.D., et al.: The FAIR guiding principles for scientific data management and stewardship. Sci. Data 3(1), 160018 (2016). https://doi.org/10.1038/sdata.2016.18
Acknowledgments
The work of Caterina Caracciolo contributing to this paper was supported by the Cross-Cutting project, funded by the Bill and Melinda Gates Foundation. The views expressed in this information product are those of the author and do not necessarily reflect the views or policy of FAO.
The work of Panagiotis Zervas presented in this paper has been partly supported by the AGINFRA PLUS Project that is funded by the European Commission’s Horizon 2020 research and innovation program under grant agreement No 731001.
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Caracciolo, C., Aubin, S., Whitehead, B., Zervas, P. (2019). Semantics for Data in Agriculture: A Community-Based Wish List. In: Garoufallou, E., Sartori, F., Siatri, R., Zervas, M. (eds) Metadata and Semantic Research. MTSR 2018. Communications in Computer and Information Science, vol 846. Springer, Cham. https://doi.org/10.1007/978-3-030-14401-2_32
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DOI: https://doi.org/10.1007/978-3-030-14401-2_32
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