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
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The alpha version of the WASOS ontology is available from the Github repository at https://github.com/avlachid/WASOS.
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References
Everard, M.: Community-based groundwater and ecosystem restoration in semi-arid north Rajasthan (1): socio-economic progress and lessons for groundwater-dependent areas. Ecosyst. Serv. 16, 125–135 (2015)
Lokers, R., Van Randen, Y., Knapen, R., Gaubitzer, S., Zudin, S., Janssen, S.: Improving access to big data in agriculture and forestry using semantic technologies. In: Research Conference on Metadata and Semantics Research, pp. 369–380 (2015)
Keet, C.M.: Ontology design parameters for aligning agri-informatics with the semantic web. In: Research Conference on Metadata and Semantic Research, pp. 239–244 (2009)
Athanasiadis, I.N., Rizzoli, A.E., Janssen, S., Andersen, E., Villa, F.: Ontology for seamless integration of agricultural data and models. In: Research Conference on Metadata and Semantic Research, pp. 282–293 (2009)
Pandey, D.N., Gupta, A.K., Anderson, D.M.: Rainwater harvesting as an adaptation to climate change. Curr. Sci. 85(1), 46–59 (2003)
Bonacin, R., Nabuco, O.F., Pierozzi Junior, I.: Ontology models of the impacts of agriculture and climate changes on water resources: scenarios on interoperability and information recovery. Future Gener. Comput. Syst. 54, 423–434 (2016)
Michener, W.K., Jones, M.B.: Ecoinformatics: supporting ecology as a data-intensive science. Trends Ecol. Evol. 27, 85–93 (2012)
Ding, L., Michaelis, J., McCusker, J., McGuinness, D.L.: Linked provenance data: a semantic web-based approach to interoperable workflow traces. Future Gener. Comput. Syst. 27, 797–805 (2011)
Ahmedi, L., Jajaga, E., Ahmedi, F.: An ontology framework for water quality management. In: Corcho, Ó., Henson, C.A., Barnaghi, P.M. (eds.) SSN@ISWC, pp. 35–50 (2013)
Madin, J., Bowers, S., Schildhauer, M., Krivov, S., Pennington, D., Villa, F.: An ontology for describing and synthesizing ecological observation data. Ecol. Inform. 2, 279–296 (2007)
Tarboton, D.G., et al.: Data interoperability in the hydrologic sciences, the CUAHSI hydrologic information system. In: Proceedings of the Environmental Information Management Conference, Santa Barbara, CA, pp. 132–137 (2011)
Raskin, R.G., Pan, M.J.: Knowledge representation in the semantic web for earth and environmental terminology (SWEET). Comput. Geosc. 31(9), 1119–1125 (2005)
Fernández-López, M., Gómez-Pérez, A., Juristo, N.: Methontology: from ontological art towards ontological engineering. In: Proceedings of the Ontological Engineering AAAI-97 Spring Symposium Series. Presented at the AAAI-97 Spring Symposium Series, Facultad de Informática (UPM), Stanford University, EEUU (1997)
Everard, M.: Repurposing business around the meeting of human needs. Environmental Scientist, September 2017, pp. 40–45 (2017)
Hlomani, H., Stacey, D.: Approaches, methods, metrics, measures, and subjectivity in ontology evaluation: a survey. Semant. Web J. 1(5), 1–11 (2014)
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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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