Easy SPARQLing for the Building Performance Professional
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Easy SPARQLing for the Building Performance ProfessionalSEMANTiCS2014, 5.9.2014, Leipzig, Germany
Martin KaltenböckSemantic Web Company
www.semantic-web.atwww.poolparty.biz
@semwebcompany@kalte2707
These slides are published under : http://creativecommons.org/licenses/by/3.0
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• Semantic Web Company founded 2001 in Vienna, Austria
• 20 experts in strategy, coding, consulting, research & PM
• Main Product: PoolParty Semantic Suite (launched 2009)
• Focus: Semantic Information Management & LOD Services and Information- & Data Portals / Tools
• Serving global 500 companies, GOV & NGOs worldwide
• EU- & US-based consulting services
Partner network:
About Semantic Web Company
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Problem Statement: Why use LOD for Sustainable Development
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Data Analytics 2.0 -The islands are now open for the experts
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(Linked) Open Data for Sustainable Development What is important…
What is important when thinking about OPEN DATA in use?
•Interoperability to ensure broad & easy use of data•Human AND machine readable data plus: metadata (!!)•In common open formats & open standards•For smooth and cost efficient data integration (re-use)•To generate effects : local – regional – national –worldwide
For several target groups with several interests!Politicians & decision makers | Public administration & project developers | Citizens (Citizen Analysts) | Economy & Industry | (Data) Journalists, media & publishers | Academia & Science
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• All of us have to use ONE schema
• Everything needs to be switched to RDF
• We all have to learn SPARQL, there are no standard (web) APIs
• LOD is a pure academic approach
• LOD can only be used by Semantic Web experts
• We have to change our data integration & -management approaches
Misconceptions about Linked Open Data
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Solution:LOD for Sustainable Development !
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Linked Open Data (LOD) for Sustainable Development
Why Linked Open Data for sustainable development
• Awareness building & education
• Participation through information
• Enable & boost innovation
• Knowledge sharing & showcasing best practise
• Enable better decision making
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Henry Maudslay (1771 – 1831)
He also developed the first industrially practical screw-cutting lathe in 1800, allowing standardisation of screw thread sizes for the first time. This allowed the concept of interchangeability (a idea that was already taking hold) to be practically applied to nuts and bolts. Before this, all nuts and bolts had to be made as matching pairs only. This meant that when machines were disassembled, careful account had to be kept of the matching nuts and bolts ready for when reassembly took place.http://en.wikipedia.org/wiki/Henry_Maudslay
John Sheridan, OGD2011 Conference, Vienna, Austria: http://www.slideshare.net/semwebcompany/linking-uk-government-data-john-sheridan/
Customers - extractInteroperability & Standards
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• Less replication (offering same datasets in different places)
• Encouragement to re-use existing datasets (open standards, open formats, reduce semantic & syntactic heterogeneity)
• Clear which datasets are providing similar / same information
• More innovation and creation of new knowledge by contextualisation
• Creating network effects by linking
• Enable scale out of the growing amounts of data
The Benefits of Linked Open Data for Sustainable Development
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Data Analytics 3.0 –Connected islands based on open standards
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GBPN – Global Buildings Performance Network
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Global Buildings Performance Network (GBPN)
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GBPN: Need of Data & Information
• Funded by Climate Works
• Mission to prevent Climate Change• By support to Governments to
adopt better policies• Adoption of international
agreements
• Philantrophie Linked AND Open… fits with GBPN mission
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GBPN: Need of Data & Information
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GBPN: Need of Data & Information
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GBPN - Tool for Building Energy Performance Scenarios
http://www.gbpn.org/databases-tools/mrv-tool/about
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What is a Modeling Tool?
• It is a platform to structure, organize and analyze data taking into account a certain analytical goalWhat is MRV?
Measurable, Reportable & Verifiable – parameters
under which the mitigation actions should be undertaken
2007 Bali Action Plan
The main goal of a Modeling MRV Tool isTo provide a way to
• measure energy use and related GHG emissions from buildings & serve as the basis for assessing the potential for certain mitigation actions
• report on the country’s/city’s GHG emissions and appropriate mitigation actions
• verify the compliance with the mitigation commitments by feeding in the updated data
GBPN: Idea of a MRV Tool
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The Data: A Multidimensionale Cube
3 Scenarios
3 Options for End-Uses
46 Years
World, 11 or 4 Regions
17 Climate Zones
3 Building Types, 16 Categories
5 Building Vintages
The output is constituted from the
selection of different dimensions Type of the output: CHART(S) or TABLE
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Tool for Building Energy Performance Scenarios
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Tool for Building Energy Performance Scenarios
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Tool for Building Energy Performance Scenarios
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Tool for Building Energy Performance Scenarios
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Facts & Figures – GBPN MRV Tool
• Source System: MS Access DB• RDF: Data Cube Vocabulary • Cube with 17 dimensions• Output ~ 235 Million Triples• Linked to DBpedia & Geonames & GBPN Terminology• CC-BY-3.0 France License
• Virtuoso Triple Store for data storage and SPARQL Endpoint: http://virtuoso.openlinksw.com/
• ETL & other LOD Jobs: UnifiedViewshttp://www.semantic-web.at/de/unifiedviews
• D2R RDF Conversion: http://d2rq.org/d2r-server • PoolParty Server for add. Linkting to GBPN
Taxonomies: http://www.poolparty.biz/
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Other GBPN (LO)Data Tools
The GBPN Policy Comparative Tool: http://bit.ly/X9Vihm
The GBPN Facts & Figures Tool: http://bit.ly/XU3NNv
The GBPN News Aggregator Tool: http://bit.ly/13JLJqk
The Linked Open Data (LOD) based GBPN Terminology: http://bit.ly/YSbD9S
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Contact
Martin Kaltenböck, [email protected]
Semantic Web Company GmbHMariahilfer Strasse 70/8, A-1070 Vienna+43-1-4021235
http://www.semantic-web.athttp://www.poolparty-software.comhttp://slideshare.net/semwebcompanyhttp://youtube.com/semwebcompany
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The Power of Linked Open Data
• Enables web-scale data publishing - distributed publication with web-based discovery mechanisms
• Everything is a resource – follow your nose to discover more about properties, classes, or codes within a code list
• Everything can be annotated - make comments about observations, data series, points on a map
• Easy to extend - create new properties as required, no need to plan everything up-front
• Easy to merge - slot together RDF graphs, no need to worry about name clashes
• Easy use and re-use on top of common schemas AND schema mapping
• Allows complex querying of several distributed data sources & systems