dc.creator | Escobar, Pilar | es |
dc.creator | Roldán García, María del Mar | es |
dc.creator | Peral, Jesús | es |
dc.creator | Candela, Gustavo | es |
dc.creator | García Nieto, José Manuel | es |
dc.date.accessioned | 2021-05-05T08:52:27Z | |
dc.date.available | 2021-05-05T08:52:27Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Escobar, P., Roldán García, M.d.M., Peral, J., Candela, G. y García Nieto, J.M. (2020). An Ontology-Based Framework for Publishing and Exploiting Linked Open Data: A Use Case on Water Resources Management. Applied Sciencies, 10 (3) | |
dc.identifier.issn | 2076-3417 | es |
dc.identifier.uri | https://hdl.handle.net/11441/108529 | |
dc.description.abstract | Nowadays, the increasing demand of water for electricity production, agricultural and
industrial uses are directly affecting the reduction of available quality water for human consumption
in the world. Efficient and sustainable maintenance of water reservoirs and supply networks implies
a holistic strategy that takes into account, as much as possible, information from the stages of
water usage. Next,-generation decision-making software tools, for supporting water management,
require the integration of multiple and heterogeneous data sources of different knowledge domains.
In this regard, Linked Data and SemanticWeb technologies enable harmonization of different data
sources, as well as the efficient querying for feeding upper-level Business Intelligence processes.
This work investigates the design, implementation and usage of a semantic approach driven by
ontology to capture, store, integrate and exploit real-world data concerning water supply networks
management. As a main contribution, the proposal helps with obtaining semantically enriched linked
data, enhancing the analysis of water network performance. For validation purposes, in the use
case, a series of data sources from different measures have been considered, in the scope of an actual
water management system of the Mediterranean region of Valencia (Spain), throughout several
years of activity. The obtained experience shows the benefits of using the proposed approach to
identify possible correlations between the measures such as the supplied water, the water leaks or
the population. | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades TIN2017-86049-R | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades RTI2018-094283-B-C32 | es |
dc.format | application/pdf | es |
dc.format.extent | 17 | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Applied Sciencies, 10 (3) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Ontology Engineering | es |
dc.subject | Linked data | es |
dc.subject | Business Intelligence | es |
dc.subject | Decision-making | es |
dc.subject | Water resources sustainability | es |
dc.title | An Ontology-Based Framework for Publishing and Exploiting Linked Open Data: A Use Case on Water Resources Management | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2017-86049-R | es |
dc.relation.projectID | RTI2018-094283-B-C32 | es |
dc.relation.publisherversion | https://www.mdpi.com/2076-3417/10/3/779 | es |
dc.identifier.doi | 10.3390/app10030779 | es |
dc.journaltitle | Applied Sciencies | es |
dc.publication.volumen | 10 | es |
dc.publication.issue | 3 | es |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (MICINN). España | es |