Slides of Martin Kaltenböcks (SWC) presentation at SEMANTiCS2014 conference in Leipzig on 5th of September 2014 about the 'Tool for Building Energy Performance Scenarios' of GBPN (Global Buildings Performance Network, http://gbpn.org) that provides a prediction tool for buildings performance worldwide by making use of Linked Open Data (LOD).

1. Easy SPARQLing for the
Building Performance Professional
SEMANTiCS2014, 5.9.2014, Leipzig, Germany
@semwebcompany
@kalte2707
Martin Kaltenböck
Semantic Web Company
www.semantic-web.at
www.poolparty.biz
These slides are published under :
http://creativecommons.org/licenses/by/3.0

2. About Semantic Web Company
• 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:

3. Problem Statement:
Why use LOD for Sustainable Development

4. Data Analytics 2.0 -
The islands are now open for the experts

5. 5
(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

6. Misconceptions about Linked Open Data
• 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

7. Solution:
LOD for Sustainable Development !

8. 8
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

9. Customers I-netexrtorapcetrability & Standards
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/

10. • 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
10

11. Data Analytics 3.0 –
Connected islands based on open standards
11

12. GBPN – Global Buildings Performance
Network

13. Global Buildings Performance Network (GBPN)

14. 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

15. GBPN: Need of Data & Information

16. GBPN: Need of Data & Information

17. GBPN - Tool for Building Energy
Performance Scenarios
http://www.gbpn.org/databases-tools/mrv-tool/about

18. GBPN: Idea of a MRV Tool
What is a
Modeling Tool?
• It is a platform to
structure, organize
and analyze data
taking into account a
certain analytical goal
What 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 is
To 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

19. The Data: A Multidimensionale Cube
46 Years
World, 11 or 4 Regions
3 Scenarios
3 Options for End-Uses
17 Climate Zones
5 Building Vintages
3 Building Types, 16
Categories
The output is constituted from the
selection of different dimensions

Type of the output: CHART(S) or
TABLE

20. Tool for Building Energy Performance Scenarios

21. Tool for Building Energy Performance Scenarios

22. Tool for Building Energy Performance Scenarios

23. Tool for Building Energy Performance Scenarios

24. 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: UnifiedViews
http://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/

25. 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

26. Contact
Martin Kaltenböck, m.kaltenboeck@semantic-web.at
Semantic Web Company GmbH
Mariahilfer Strasse 70/8, A-1070 Vienna
+43-1-4021235
http://www.semantic-web.at
http://www.poolparty-software.com
http://slideshare.net/semwebcompany
http://youtube.com/semwebcompany

27. 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