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WASOS: An Ontology for Modelling Traditional Knowledge of Sustainable Water Stewardship

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Metadata and Semantic Research (MTSR 2019)

Abstract

Recent work and publications concerning sustainable water stewardship in Rajasthan (India) highlight how contemporary challenges are eroding traditional, communal approaches to water stewardship through mechanised extraction beyond the renewable capacities of ecosystems. Our work is focused on developing a formal ontology for modelling the knowledge of traditional water stewardship in India’s drylands by capturing the key constitutional elements of regenerative methods. Our method follows an iterative evolving prototype process for delivering the first version of the Ontology for Sustainable Water Stewardship (WASOS). The ontology contains a moderate number of high-level classes and properties that represent the water management decision-making process. By making key relationships visible, we aim to support decision-making in complex catchments particularly where there are contested urban and rural claims on water.

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Notes

  1. 1.

    The alpha version of the WASOS ontology is available from the Github repository at https://github.com/avlachid/WASOS.

  2. 2.

    http://aims.fao.org/vest-registry/vocabularies/agrovoc.

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Correspondence to Andreas Vlachidis .

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Vlachidis, A., Everard, M. (2019). WASOS: An Ontology for Modelling Traditional Knowledge of Sustainable Water Stewardship. In: Garoufallou, E., Fallucchi, F., William De Luca, E. (eds) Metadata and Semantic Research. MTSR 2019. Communications in Computer and Information Science, vol 1057. Springer, Cham. https://doi.org/10.1007/978-3-030-36599-8_29

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  • DOI: https://doi.org/10.1007/978-3-030-36599-8_29

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