@WATERNOMICS_EU www.waternomics.eu
Project co-funded by the European
Commission within the 7th Framework
Program (Grant Agreement No. 619660)
LINKED WATER DATA FOR WATER
INFORMATION MANAGEMENT
E. Curry, V. Degeler, E. Clifford, D. Coakley, A. Costa, T. Messervey, S.-J.
Van Andel, N. Van de Giesen, C. Kouroupetroglou, J. Mink, and S. Smit
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu2
WATER DECISION SUPPORT
• Present meaningful information
• Personalized Services
• User Awareness (usage)
• User Incentivisation (Price)
• Benchmarking
– Neighborhood
– Industry Sector
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu3
WATER FOOTPRINTS
• Business transparency
driving assessments of
water impact
• Water footprints
consider all sources of
water consumption (direct/
indirect)
• No single data source
• Requires integrated data
from many participants in
supply chain
– Weather data, geo-location
data, historical records,
product usage data, user
behaviour habits, etc
http://www.waterfootprint.org/
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu4
Technology and Data Interoperability
• Data produced in different organizations
• Data scattered among different
information systems Dynamic data, sensors,
ERP, BMS, assets databases, …
• Multiple incompatible technologies make
it difficult to use
• Significant cost to bring this data together
How do we breakdown these
Water Data Silos?
KEY DATA CHALLENGES
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu5
• Emerging data management techniques
recognize expense obtaining upfront
unifying schema across all data sources
Key Emerging Principles
– Co-existence of data without unifying schema
– Loosely integrated set of data sources
– Data integrated on “as needed” basis
– Tighter integration achieved in an incremental
"pay-as-you-go" fashion
Franklin, A. Halevy, and D. Maier From databases to dataspaces: a new
abstraction for information management,” Sigmod Record, 34(4) 2005.
A DIFFERENT APPROACH IS NEEDED
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu6
DBMS VS DATASPACE
DBMS Dataspace/
Linked Data
Model Relational All
Formats Homogenous Heterogeneous
Control Complete Partial
Query Precise Approximate
Integration Explicit Implicit/
Incremental
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu7
THE LINKED OPEN DATA CLOUD
7
20082007
2008
2008
2008
2009
20092010
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu8
LINKED OPEN DATA CLOUD - DOMAINS
Over 300 open data sets with more than 35 billion facts,
interlinked by 500 million typed links.
http://lod-cloud.net/
Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch.
Media
Government
Geo
Publications
User-generated
Life sciences
Cross-domain
US government
UK government
BBC
New York Times
LinkedGeoData
BestBuy
Overstock.com
Facebook
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu9
• Linked Data is a method of exposing, sharing, and
connecting data (via de-referenceable URIs) on the Web.
– Provides a Data (RDF) and Naming (URI) model for the Web
– W3C Web-based Standards
– Adaptive Ontologies
– Incremental Approach
• Resource Description Framework (RDF)
– Graph based Data – nodes and arcs
– Identifies objects (URIs)
– Interlink information (Relationships)
• Vocabularies (Ontologies)
– Provides shared understanding of a domain
– Organizes knowledge in a machine-comprehensible way
– Gives an exploitable meaning to the data
LINKED DATA
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu10
LINKED DATA PRINCIPLES
1. Naming: Use URIs to identify the “things”
in your data
2. Access: Use HTTP URIs so people (and
machines) can look them up on the Web
3. Format: When a URI is looked up, return a
description of the thing in a structured
format (RDF)
4. Contextualization: Include links to related
things to provide context (data network)
http://www.w3.org/DesignIssues/LinkedData.html
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu11
rm:contains
foaf:name
water:consumptionfoaf:name
water:consumption
water:consumptionfoaf:name
rm:contains
“Main Kitchen” 83 L/d
40 L/d“Dishwasher” 16.5 L/d“Mr. Coffee”
http://lab.linkeddata.deri.ie/
2010/deri-rooms#r315
http://water.deri.ie#mr-coffeehttp://water.deri.ie#dishwasher23
energy:consumption
50 kWh
LINKED WATER DATA
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu12
• To introduce demand response and accountability principles
(water footprint) in the water sector
• To engage consumers in new interactive and personalized ways that
bring water efficiency to the forefront and leads to changes in water
behaviours
• To empower corporate decision makers and municipal area managers
with a water information platform together with relevant tools and
methodologies to enact ICT-enabled water management programs
• To promote ICT enabled water awareness using airports and water
utilities as pilot examples
• To make possible new water pricing options and policy actions by
combining water availability and consumption data
WATERNOMICS will provide personalised and actionable
information on water consumption and water availability to
individual households, companies and cities in an intuitive &
effective manner at relevant time-scales for decision making
WATERNOMICS
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu13
KEY TECHNOLOGY
Open/Linked
Data
Internet
of
Things
Gamifica:on
Simple
UI
Seman:cs
Leak
Detec:on
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu14
WATERNOMICS
APPROACH
Internet of Things
• Sensors connected to the Internet
• Real-time water awareness
• Semanitc Event Processing
Linked Water Data
• Linkage of contextual information
• Inclusion of W3C Standards
• Water data as Open Data on Web
Water Information Services
• Visual Dashboards
• Decision support systems
• Games & interactive learning apps
Water Analysis Services
• Water Usage Prediction Models
• Meteorological Drought Forecasting
• Leak & Fault Detection
IoT
Water Management Systems
• Auditing procedures
• Sensor network design rules
• Organizational procedures
WATERNOMICS will be demonstrated in three high
impact pilots that target three different end users/
stakeholders.
PILOTS
Domestic Usage
Municipality of Thermi, Greece
Corporate Usage
Linate Airport, Milan, Italy
Mixed Use
Galway City, Ireland
Homes (single residence,
apartments and complexes) in
a water stressed region
Installing a water management
system in the main terminal of
a signature EU airport
Decision making tools and
support to public buildings and
public assets
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu1515
Water
Analysis
Model
Usage
Model
Water
Dashboards
Decision
Support
Services
Corporate
Municipality Public
Waternomics
Informa/on
Pla2orms
GENERIC WATER INFORMATION SERVICES
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu16
Water Management Apps
• Water dashboards
• Decision support
• Availability forecast
Support Services
• Simplify linked data
consumption via services
Linked Water Data Cloud
• Rich with knowledge and
semantics about water
usage performance
Data/Meter Sources
• Existing operational
legacy systems
• Adapters perform the
“RDFization” lift to the
dataspace
WATERNOMICS INFORMATION PLATFORM
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu17
ssn:Sensor
rm:Room
En:Sink
En:Dishwasher
ssn:observes
En:Water
Consumption
foaf:Person
foar:Group
foaf:memberOf
rm:Roomrm:Desk foaf:Person
rm:occupantrm:contains
rm:Building
rm:Floor
rm:contains
rm:contains
owl:sameAs
owl:sameAs
Human Resource
Building
Management
System
Sensor Network
CROSS-DOMAIN WATER DATA
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu18
TOWARDS LINKED WATER SERVICES
Water Analysis
Models
Water Consumption
Forecasting
Water Awareness
Dashboards
Water
Footprint
s
Dynamic Pricing
Decision
Support
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York

@WATERNOMICS_EU www.waternomics.eu19
SUMMARY AND FUTURE WORK
• Emerging data management
approaches recognize expense
obtaining upfront unifying
schema across all sources
• Linked Data is a method of
publishing, sharing, and
connecting data on the Web
• Waternomics will explore
Linked Water Data
– Project kicked-off in February 2014
– Linked Water Dataspace
development is underway
E. Curry, et. al “Linked Water Data For Water
Information Management,” in HIC 2014, New York