Water Analytics and Management with
Real-time Linked Dataspaces
Umair ul Hassan, Souleiman Hasan, Wassim Derguech, Louise Hannon, Eoghan
Clifford, Christos Kouroupertroglou, Sander Smit, Edward Curry
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.
Umair ul Hassan, Souleiman Hasan, Wassim Derguech, Edward Curry
Insight Centre for Data Analytics, National University of Ireland Galway, Ireland
Louise Hannon, Eoghan Clifford
College of Engineering & Informatics, National University of Ireland Galway, Ireland
Christos Kouroupertroglou
Ultra4, Greece
Sander Smit
BMChange, The Netherlands
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