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  • 1. Open Energy Data(Linked) Open Data for Clean Energy & for Sustainable Development18.09. 2012, OKFestival, Helsinki, FinlandDenise Recheis, REEEPThomas Thurner, Semantic Web Company (SWC) @semwebcompany facebook.com @reegle These slides are published under : http://creativecommons.org/licenses/by/3.0
  • 2. AgendaLinked Open Data in Clean EnergyPotentials, Benefits, Real World ExamplesLinked Open Data and ControlledVocabulariesWhat is this & what is this good for?! Open Data,Examples & Outreachreegle.info – we are open!The data hub for clean energy & sustainable developmentInput to the Green Hackathon 2
  • 3. Open Data in Clean Energy Applications www.energy.publicdata.eu Europes energy 3
  • 4. Open Data in Clean Energy Applications Energy Statistics www.reegle.info 4
  • 5. 5 Department of Energy and Climate Change, Open Data in Clean Energy Applications Sciencewise-ERC and Delib http://my2050.decc.gov.uk/
  • 6. Organsiations and Open Energy DataCurrent publishers of Open Energy Data • REEEP/reegle.info • OpenEI • Various government portals (UK, US, Australia... ) • DBpedia (Wikipedia)Current consumers of Open Energy Data • REEEP • OpenEI 6
  • 7. Linked
Open
Dataand
Controlled
Vocabularies(a typical website) What
can
they do
for
us?
  • 8. The Free UniversalConstruction KitconnectsLego®, Duplo®, Fischertechnik®,Gears! Gears! Gears!®, K’Nex®,Krinkles®, Bristle Blocks®, LincolnLogs®, Tinkertoys®, Zome®,ZomeTool® and Zoob®with a low cost 3D printedadapter setCC.By Golan Levin (US), ShawnSims (US)
  • 9. More creativity with more pieces More fun with improved possibilities Playing games which are not intended by toy manufactors
  • 10. Why
LOD
in
Clean
Energy(a typical website)  All
information
is
stored
in
its
own Source: Jon Weers, NREL database
(“silo”)  Other
sites
have
similar
design
pattern =>
Duplication
of
effort
and
information  Each
site
is
responsible
for
updating information =>
Potential
for
online
community
to
be presented
with
conflicting
information
  • 11. Why
LOD
in
Clean
Energy (a typical website)  All
information
is
stored
in
its
own Source: Jon Weers, NREL database
(“silo”)  Other
sites
have
similar
design
pattern =>
Duplication
of
effort
and
information  Each
site
is
responsible
for
updating information =>
Potential
for
online
community
to
be presented
with
conflicting
information Using data from external sites requires you todownload a copy to install it into your database.
  • 12. Why
LOD
in
Clean
Energy (a typical website)  All
information
is
stored
in
its
own Source: Jon Weers, NREL database
(“silo”)  Other
sites
have
similar
design
pattern =>
Duplication
of
effort
and
information  Each
site
is
responsible
for
updating information =>
Potential
for
online
community
to
be presented
with
conflicting
informationIf only one site updates its data, the two sites become out of sync. How does the onlinecommunity know which site is more accurate?
  • 13. Why
LOD
in
Clean
Energy(a typical website)  Datasets
are
shared
behind
the
scenes =>
Each
site
can
focus
on
key
data
and Source: Jon Weers, NREL import
supplemental
data  Imported
data
automatically
updated =>
Provides
users
with
consistent information
across
multiple
sites  External
websites
can
consume
LOD resources
to
present
new
content
in exciting
and
unanticipated
ways
  • 14. Why
LOD
in
Clean
Energy (a typical website)  Datasets
are
shared
behind
the
scenes =>
Each
site
can
focus
on
key
data
and Source: Jon Weers, NREL import
supplemental
data  Imported
data
automatically
updated =>
Provides
users
with
consistent information
across
multiple
sites  External
websites
can
consume
LOD resources
to
present
new
content
in exciting
and
unanticipated
waysData is shared at the database level. Updates to alinked database appear instantly on partner sites.
  • 15. Why
LOD
in
Clean
Energy (a typical website)  Datasets
are
shared
behind
the
scenes =>
Each
site
can
focus
on
key
data
and Source: Jon Weers, NREL import
supplemental
data  Imported
data
automatically
updated =>
Provides
users
with
consistent information
across
multiple
sites  External
websites
can
consume
LOD resources
to
present
new
content
in exciting
and
unanticipated
ways Third party websites can combine (or “mashup”)linked open data to form innovative content, or new data.
  • 16. Summary:
Why
LOD
in
Clean
Energyfocus
efforts
Organizations
want
to
provide
a
comprehensive
picture
of
their
topic
bydisplaying
all
relevant
information,
but
they
need
to
focus
solely
on
providingthe
information
where
they
are
subject
matter
expertsavoid
replicationRe‐using
existing
datasets
avoids
replication
of
work
already
done
‐this
saves
time
and
moneyreduced
maintenance
and
effortUpdates
to
linked
open
data
are
propagated
instantlymove
towards
semantic
linkages
and
interoperability• Using
intelligent
data
based
on
concepts
behind
the
data• SPARQL
queries
can
span
multiple
data
sources• Never‐imaged‐before
data
mash‐ups
and
utilizations
(3rd
party
driven)
  • 17. Controlled
Vocabularies
&
Open
DataOpen
Data
in
Use•Strong
need
for
standardisation•Strong
need
for
interoperability•Strong
need
for
multilingual
solutions•Strong
need
for
cross
catalogue
searchFurthermore•Publish
and
re‐use
of
linked
open
vocabularies
=
open
data 17
  • 18. controlled vocabularies - benefits•simple
but
powerful
model
of
a
terminology
(
=
vocabulary)•offers
semantics
=
meaning,
thereby
enable
interoperability•puts
complex
things
into
context
by
a
semantic
layer•easy
to
realise
multilingualism
(
=
translated
vocabularies)•improves

common
understanding 18
  • 19. controlled vocabularies – use cases• powerful
categorisation
and
tagging
mechanisms• powerful
multilingual
(semantic)
search
applications• connected
data
silos
(e.g.
open
data
catalogues)• smart
glossaries
for
better
common
understanding• Linked
Open
Data
publishing
to
re‐use
vocabularies• creating
network
effects
by
using
same
vocabularies• precise
recommender
services Realized
by
reegle.info 19
  • 20. … a clean energy open data portal http://www.reegle.info• Well
established
information
gateway for
high
quality
information
on renewable
energy,
efficiency
and climate
compatible
development• More
than
220,000
users
per
month• Data
portal
launched
in
2011Available
as
LOD
@
data.reegle.info:• key
datasets
including
energy
statistics• over
1,700
stakeholders
worldwide• extensive
glossary
enriched
with DBpedia
linked
data• country
energy
profiles
including
policy &
regulation
data
  • 21. reegle.info – country energy dossiershttp://reegle.info/countries
 21
  • 22. reegle.info – country energy dossiers clean energy portal http://reegle.info open data portal http://data.reegle.info 22
  • 23. reegle.info – controlled vocabularySKOS (Thesaurus)•W3C Standardsince 2009•based on SemanticWeb standards•open to link withexternal linked data 23
  • 24. reegle.info – use cases of thesaurusReegle.info
uses
the
thesaurus
in
several
ways:•extensive,
multilingual
clean
energy
glossary•facetted,
semantic
search•wordpress
plug‐in
for
blog.reegle.info•latest
thesaurus
usecase:
reegle
API 24
  • 25. reegle.info – use cases of thesaurusReegle.info
uses
the
thesaurus
in
several
ways:•extensive,
multilingual
clean
energy
glossary•facetted,
semantic
search•wordpress
plug‐in
for
blog.reegle.info•latest
thesaurus
usecase:
reegle
API•starting
from
October:
api.reegle.info=>




automated
tagging
and
content
pool 25
  • 26. reegle.info API – 1st serviceAutomated
tagging•specifically
developed
fordocuments
dealing
with DOCUMENT CALLenergy
and
climate
changerelated
topics•extracts
concepts
based
onthe
reegle
thesaurus
plus
freetags•currently
there
is
no
limit
torequests TOPICS / CONCEPTS•available
for
resources
inEnglish,
Spanish,
Portuguese, LOCATIONSFrench
and
German KEYWORDS 26
  • 27. 27
  • 28. reegle.info API – 2nd serviceContent
pool:• consists
of

documents
that






have
been
sent
to
the
reegle CA DE






API
index
plus
REEEPs LIL VE






original
sources R• documents
are
tested
for
their VEI LE CL






similarity
based
on
the
reegle CA RE






thesaurus• related
documents
can
be






suggested
to
the
user 28
  • 29. Green Hackaton: Global Energy PulseProduction and consumption of electric power are subject to daily as well as seasonal fluctuations.These variations depend on many factors, such as consumption patterns and availability of resources.For renewable energy, factors such as wind intensity, solar radiation or water-level of riversdetermine the energy yield. A visualization of such high-production/high consumption patterns perregion could be a good starting point for discussions on smart grids, necessary interconnection atpower lines, energy storage and the energy security. For a start, the focus of this challenge will beEurope.Data Sourceso Types for Electric Power Production per Country (UNDATA)o Import / Export (UNDATA)o European Electricity Index (ELIX)o Seasonal Production Factorso Daily Load Profile (ENTSO-E) + Realtime Data (eg. UK National Grid)o Seasonal Consumption Profiles (ENTSO-E)Visualization may beo a Globe rotating, showing day/nighto and the energy-status of the regions in various colorso animated 24h and seasonal (switch)o with various factors to be switched on and off 29
  • 30. Green Hackaton: Big Oil True StoryThe idea is to visualize the connection between tax breaks for oil companies, their profits,their production and the price of their products. Furthermore jobs created and lobbying canbe explored. Results are bound to be interesting as more tax breaks dont translate intohigher production nor cheaper prices. This challenge should focus on the US for a start, asthere is enough data and interesting, even controversial results.The idea can be developed further to include other national policies like feed-in tariffs in thefuture. Another interesting aspect would be to compare government spending on renewableswith losses through tax breaks for fossils.Data Sources•oil companies Tax breaks•oil companies profits (EIA)•Oil companies product output (EIA)•jobs in oil indutry (bureu of labour stats)•prices for fuels (Worldbank)•Federal Subsidies (OECD report) 31
  • 31. Infos & Kontakt Thomas Thurner Denise Recheis Semantic Web Company REEEP t.thurner@semantic-web.at denise.recheis@reeep.org Mariahilfer Strasse 70/8 Wagramerstrasse 5 1070 Vienna, Austria 1400 Vienna, Austriahttp://www.semantic-web.athttp://blog.semantic-web.at http://www.reeep.orghttp://poolparty.biz http://www.reegle.infohttp://lod2.eu http://blog.reegle.infohttp://opendata.at 31