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Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
Linked Water Data For Water Information Management
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Linked Water Data For Water Information Management

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The management of water consumption is hindered by low general awareness and absence of precise historical and contextual information. Effective and efficiency management of water resources requires a …

The management of water consumption is hindered by low general awareness and absence of precise historical and contextual information. Effective and efficiency management of water resources requires a holistic approach considering all the stages of water usage. A decision support tool for water management services requires access to a number of different data domains and different data providers. The design of next-generation water information management systems poses significant technical challenges in terms of information management, integration of heterogeneous data, and real-time processing of dynamic data. Linked Data is a set of web technologies that enables integration of different data sources. This work investigates the usage of Linked Data technologies in the Water Management domain, describes the fundamental concepts of the approach, details an architecture, and discusses possible water management applications.

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  • 1. @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
  • 2. @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
  • 3. @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
  • 4. @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
  • 5. @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
  • 6. @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
  • 7. @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
  • 8. @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
  • 9. @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
  • 10. @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
  • 11. @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
  • 12. @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
  • 13. @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
  • 14. @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
  • 15. @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
  • 16. @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
  • 17. @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
  • 18. @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
  • 19. @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

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