Water Analytics and Management with Real-time Linked Dataspaces
5
Framework (RDF 4 ) or the JavaScript Object Notation (JSON-LD 5 ), for making data
available through URIs. The fourth principle encourages contextualization of data
by providing links to other related URIs, thus creating a data network. Within the
context of water analytics, following these principles enables standardized access
and supports interoperability for applications that aim to exploit water information.
4 Linked Real-time Dataspace for the Waternomics Project
The goal of the Waternomics 6 project is to provide personalized and actionable
information about water consumption and water availability to households, companies, and cities in an intuitive and effective manner at a time-scale that is relevant
for effective decision making [5]. Access to such information will increase end-user
awareness and improve the quality of the decisions regarding water management
and governance. Waternomics accomplishes this by combining water usage related
information from various sources and domains to offer water information services to
end-users. The Waternomics platform enables sharing of water information services
across different groups of users by providing a convergence layer on top of existing
water infrastructures with minimal disruption. The objective is to expose the data
within existing systems, but only linking the data when it needs to be shared.
Representing water usage data within the Linked Data format makes it open; thus,
allowing it to be easily combined with data from other relevant domains.
4.1 Architecture
The main components of the envisioned architecture, as illustrated in Figure 1, are
the data sources of water usage on existing metering systems, a dataspace consisting
of Linked Data, a set of support services, and the resulting applications for water
management.
• Water Metering: At the bottom of the architecture are the operational and
legacy information systems. Adapters perform the “RDFization” process, which
transforms multiple formats and legacy data to lifts it to the dataspace. Linked
Data principles play a crucial part here since they enable interoperability and
cross-linking of water information across different sensors. Furthermore, this
RDFization enables contextualization of local water information with the openly
available Linked Data such as geographical and meteorological information.
• Data Integration: The Linked Data integrates at the information-level (data),
instead of at the infrastructure-level (system), by focusing more on the conceptual
4 https://www.w3.org/RDF/
5 http://json-ld.org/
6 http://www.waternomics.eu
5
Framework (RDF 4 ) or the JavaScript Object Notation (JSON-LD 5 ), for making data
available through URIs. The fourth principle encourages contextualization of data
by providing links to other related URIs, thus creating a data network. Within the
context of water analytics, following these principles enables standardized access
and supports interoperability for applications that aim to exploit water information.
4 Linked Real-time Dataspace for the Waternomics Project
The goal of the Waternomics 6 project is to provide personalized and actionable
information about water consumption and water availability to households, companies, and cities in an intuitive and effective manner at a time-scale that is relevant
for effective decision making [5]. Access to such information will increase end-user
awareness and improve the quality of the decisions regarding water management
and governance. Waternomics accomplishes this by combining water usage related
information from various sources and domains to offer water information services to
end-users. The Waternomics platform enables sharing of water information services
across different groups of users by providing a convergence layer on top of existing
water infrastructures with minimal disruption. The objective is to expose the data
within existing systems, but only linking the data when it needs to be shared.
Representing water usage data within the Linked Data format makes it open; thus,
allowing it to be easily combined with data from other relevant domains.
4.1 Architecture
The main components of the envisioned architecture, as illustrated in Figure 1, are
the data sources of water usage on existing metering systems, a dataspace consisting
of Linked Data, a set of support services, and the resulting applications for water
management.
• Water Metering: At the bottom of the architecture are the operational and
legacy information systems. Adapters perform the “RDFization” process, which
transforms multiple formats and legacy data to lifts it to the dataspace. Linked
Data principles play a crucial part here since they enable interoperability and
cross-linking of water information across different sensors. Furthermore, this
RDFization enables contextualization of local water information with the openly
available Linked Data such as geographical and meteorological information.
• Data Integration: The Linked Data integrates at the information-level (data),
instead of at the infrastructure-level (system), by focusing more on the conceptual
4 https://www.w3.org/RDF/
5 http://json-ld.org/
6 http://www.waternomics.eu