dc.contributor.author | ul Hassan, Umair | |
dc.contributor.author | Hasan, Souleiman | |
dc.contributor.author | Derguech, Wassim | |
dc.contributor.author | Hannon, Louise | |
dc.contributor.author | Clifford, Eoghan | |
dc.contributor.author | Kouroupertroglou, Christos | |
dc.contributor.author | Smit, Sander | |
dc.contributor.author | Curry, Edward | |
dc.date.accessioned | 2019-03-27T14:58:26Z | |
dc.date.available | 2019-03-27T14:58:26Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | ul Hassan, Umair, Hasan, Souleiman, Derguech, Wassim, Hannon, Louise, Clifford, Eoghan, Kouroupertroglou, Christos, Smit, Sander, Curry, Edward. (2017). Water analytics and management with real-time linked dataspaces. In Adegboyega Ojo & Jeremy Millard (Eds.), Government 3.0 – Next Generation Government Technology Infrastructure and Services. New York City : Springer. | en_IE |
dc.identifier.isbn | 978-3-319-63743-3 | |
dc.identifier.uri | http://hdl.handle.net/10379/15062 | |
dc.description.abstract | Due to predictions of water scarcity in the future, governments and
public administrations are increasingly looking for innovative solutions to improve
water governance and conservation. The problem is exasperated due to low levels
of awareness about water consumption among the general public. This calls for
a holistic approach to effectively manage resources during all stages of water
usage. Implementation of such an approach heavily relies on advanced analytics
technologies that combine data from different sources to enable decision support
and public engagement. The next-generation of water information management
systems must overcome significant technical challenges including integration of
heterogeneous and real-time data, creation of analytical models for diverse users,
and exploitation of ubiquitous devices to disseminate actionable information. This
chapter presents a new approach for water analytics in public spaces that is
built upon the fundamental concepts of Linked Data technologies. The chapter
also presents a concrete realization of the Linked Data approach through the
development of water analytics applications for buildings in public educational
institutions. | en_IE |
dc.description.sponsorship | The research leading to these results has received funding under the European Commission’s Seventh Framework Programme from ICT grant agreement WATERNOMICS
no. 619660. It is supported in part by Science Foundation Ireland (SFI) under Grant Number
SFI/12/RC/2289. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | Springer | en_IE |
dc.relation.ispartof | Government 3.0 - Next Generation Government Technology Infrastructure and Services | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Water analytics | en_IE |
dc.subject | Linked dataspaces | en_IE |
dc.title | Water analytics and management with real-time linked dataspaces | en_IE |
dc.type | Book chapter | en_IE |
dc.date.updated | 2019-03-22T16:41:10Z | |
dc.identifier.doi | 10.1007/978-3-319-63743-3 | |
dc.local.publishedsource | https://dx.doi.org/10.1007/978-3-319-63743-3 | en_IE |
dc.description.peer-reviewed | Peer reviewed | |
dc.contributor.funder | Seventh Framework Programme | en_IE |
dc.contributor.funder | Science Foundation Ireland | en_IE |
dc.internal.rssid | 12751141 | |
dc.local.contact | Eoghan Clifford, Room 1035, Alice Perry Engineering Building, Nui Galway, Galway. 2219 Email: eoghan.clifford@nuigalway.ie | |
dc.local.copyrightchecked | Yes | |
dc.local.version | ACCEPTED | |
dcterms.project | info:eu-repo/grantAgreement/EC/FP7::SP1::ICT/619660/EU/ICT for Water Resource Management/WATERNOMICS | en_IE |
dcterms.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ | en_IE |
nui.item.downloads | 417 | |