Linked Water Data For Water Information Management

@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.eu 2

WATER DECISION SUPPORT

• Present meaningful information

• Personalized Services

• User Awareness (usage)

• User Incentivisation (Price)

• Benchmarking – Neighborhood – Industry Sector



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


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



• 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



DBMS VS DATASPACE

DBMS Dataspace/ Linked Data

Model Relational All

Formats Homogenous Heterogeneous

Control Complete Partial

Query Precise Approximate

Integration Explicit Implicit/Incremental



THE LINKED OPEN DATA CLOUD

7

2008 2007

2008 2008

2008 2009

2009 2010



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



•  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



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


rm:contains

foaf:name

water:consumption foaf:name

water:consumption

water:consumption foaf: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-coffee http://water.deri.ie#dishwasher23

energy:consumption

50 kWh

LINKED WATER DATA



•  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



KEY TECHNOLOGY Open/Linked Data Internet of Things

Gamifica:on

Simple UI

Seman:cs Leak Detec:on



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


@WATERNOMICS_EU www.waternomics.eu 15 15

Water Analysis

Model

Usage Model Water

Dashboards

Decision Support Services

Corporate

Municipality Public

Waternomics Informa/on Pla2orms

GENERIC WATER INFORMATION SERVICES



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



ssn:Sensor rm:Room

En:Sink

En:Dishwasher

ssn:observes

En:Water Consumption

foaf:Person

foar:Group

foaf:memberOf

rm:Room rm:Desk foaf:Person rm:occupant rm:contains

rm:Building

rm:Floor

rm:contains

rm:contains

owl:sameAs

owl:sameAs

Human Resource

Building Management

System

Sensor Network

CROSS-DOMAIN WATER DATA



TOWARDS LINKED WATER SERVICES

Water Analysis Models

Water Consumption Forecasting

Water Awareness Dashboards

Water Footprint

s

Dynamic Pricing

Decision Support



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
