The Climate Tagger - a tagging- and recommender service for climate information based on PoolParty Semantic Suite - slides of the talk by Sukaina Bharwani (Stockholm Environment Institute, SEI Oxford) and Martin Kaltenböck (Semantic Web Company, SWC Vienna) at the Taxonomy Boot Camp London 2016 (TBC London) taking place on 19.10.2016

1. Sukaina Bharwani
Stockholm Environment Institute
Oxford, UK
Martin Kaltenböck
CFO, Semantic Web Company
Vienna, Austria
The Climate Tagger
Turning data into
knowledge
Taxonomy Boot
Camp London
19 October 2016
www.climatetagger.net
#climatetagger
@kalte2707
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2. The Climate Tagger
Turning Data into Knowledge...

3. 3
Image credit: lightwise / 123RF Stock Photo
Finding the right
information is
often difficultThe
Climate Tagger
Turning data into
knowledge

4. 4
Image credit: http://www.sxc.hu/photo/1042408
Lots of data and
information silos
The
Climate Tagger
Turning data into
knowledge

5. Based on our experience we know:
• Climate knowledge brokers worldwide use
different terminology in different languages to
describe the same things ➔ connection and
understanding is lost
• Need to increase consistency and
connections to see the full picture
• The answer is standardized tagging
CONSISTENCY IN TERMINOLOGY IS KEY
The
Climate Tagger
Turning data into
knowledge
5

6. Lots of data and
information silos
The
Climate Tagger
Turning data into
knowledge
6
www.climatetagger.net
#climatetagger

7. The
Climate Tagger
Turning data into
knowledge
• 5 domain specific Thesauri
Overall Climate Tagger (4000 concepts)
Energy Efficiency (750 concepts)
Renewable Energy (2089 concepts)
Climate Change – Adaptation (116)
Climate Change – Mitigation (473)
• Developed with more than 30 experts
• In 5 languages: EN, DE, ES, PT, FR
• Available as Linked Open Data (LOD)
• Linked to existing other Thesauri
(e.g. GEMET, AgroVoc, GBPN, …)
• Providing rich: definitions, synonyms, …
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8. Lots of data and
information silos
The
Climate Tagger
Turning data into
knowledge
STEP 1:
Climate Tagger is
installed on
knowledge
platforms
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9. Lots of data and
information silos
The
Climate Tagger
Turning data into
knowledge
STEP 2:
Climate Tagger scans unstructured
information and identifies relevant terms and
concepts …
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10. Added functionality via the enhanced Climate Tagger API
Geo-Tagging
Connecting content to
geographic locations
Enriching Content
Automatically adding related
information (such as
definitions) to content
Content Pool
Connecting data and information related documents from other
Climate Tagger users.
The
Climate Tagger
Turning data into
knowledge
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11. The
Climate Tagger
Turning data into
knowledge
Feature Overview
• Comprehensive Demos & Documentation
• API Key Management (organisations, users, roles, projects)
• Rich API method set
• Extract (from text)
• Extract from file
• Content Pool Push (private | public)
• Similar Documents
• Recommended Documents
• API Request Builder to ensure easy API use (source, region, topic)
• Statistics: activitiy, extractions, trendy concepts, recommendations,…
• Climate Tagger Integrations out-of-the-box
• Drupal CMS
• WordPress
• CKAN
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12. The
Climate Tagger
Turning data into
knowledge
Users & Funders
Funders include:
• Climate Development Knowledge Network (CDKN) / DFID UK
• Federal Government of Germany (BMU)
• Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)
• Climate Technology Centre and Network (CTCN) of UNEP
More than 60 organisations using the Thesaurus & Climate
Tagger including:
• NREL – OpenEI, SEI Oxford – weADAPT, IDS – ELDIS
• CTCN, GGKP, REN21, C2E2
• Energypedia, European Copper Institute (Leonardo Energy),
Practical Action
• IRENA – International Renewable Energy Agency
Projects in development / negotiatons with:
• WIPO Green, GIZ ,Clean Energy Solution Center, …
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13. HOW DOES
THIS WORK
Taking a look
under the hood
13

14. TECHNICAL
CORE
COMPONENTS
PoolParty
Semantic Suite
www.poolparty.biz
@PoolParty_Team
Bain Capital is a venture capital
company based in Boston, MA.
Since inception it has invested in
hundreds of companies including
AMC Entertainment, Brookstone,
and Burger King. The company was
co-founded by Mitt Romney.
Taxonomy &
Ontology Server
Entity Extraction &
Text Mining
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15. Semi-automatic
tagging
embedded in
content
workflows
Supervised
Learning
System
15

16. Entity
Extraction
based on
Knowledge
Graphs
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17. How does it
work:
Architecture
PoolParty
Semantic Suite
www.poolparty.biz
@PoolParty_Team
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18. How does it
work: out-of-
the-box
integrations
START NOW!
https://www.drupal.org/project/climate_tagger
https://wordpress.org/plugins/climate-tagger/
http://extensions.ckan.org/extension/climate-tagger/
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https://www.climatetagger.net

19. WHAT DOES THIS
MEAN IN THE REAL
WORLD?
weADAPT:
a climate adaptation use case
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20. weADAPT: a
global climate
adaptation
knowledge
platform
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21. ▸ Mass of information on climate adaptation and
fragmentation of knowledge (e.g. lack of connections
between work and networks).
▸ Lack of “actionable learning”. There is replication of
work, redundancy and a lack of learning from the
thousands of projects around the world.
▸ Very little systematic analysis of trends,
commonalities and divergences.
▸ Need to create a better balance between the
specificity of place based research and generalizable
recommendations
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The problem

22. Learn
Share
Connect
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Relationships between
weADAPT Editors,
Knowledge Managers and
the users.
User generated high quality
content.
Free, open access
weADAPT links and integrates
knowledge in intelligent ways,
using semantic tagging

23. Objectives
▸ Understanding the decision-making environment
▸ Exploring the use of climate science in decision-
making
▸ Building capacity for climate science uptake
▸ Monitoring, learning and reflection
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24. 700+ geo-ref adaptation
case studies
500+ organizations
& 2500+ members
1000+ articles
20 themes & networks
Semantic data and
intelligent linking
Quality assurance
Commentary & learning
forums

25. Articles
Case studies
Themes
Networks
Projects
Discussion
forums
Comments
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26. Themes
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27. Case studies
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28. Articles
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29. Building
capacity for
uptake of
climate
information
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30. How do we
address
information
overload using
the Climate
Tagger?
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31. Meta analysis
of knowledge
base
▸ Visualization of information to tell a
story
▸ Better communication e.g. using
infographics
▸ Further collaborations building on the
different strengths of different
platforms and adaptation champions
▸ Mapping themes and their contributors
▸ Barrier/enablers to adaptation
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32. Going “beyond
knowledge
sharing”
- adding new
value
Systematic analysis of tags,
trends, commonalities and gaps
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33. Mapping “who
is working on
what”
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34. Mapping “who
is working on
what”
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35. Next steps:
Development
of gaps in
Climate
Tagger
E.g. Creating harmonised language in the
areas of disaster risk reduction, climate
science and climate services.
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36. Q & A
www.climatetagger.net
#climatetagger
PoolParty
Semantic Suite
www.poolparty.biz
@PoolParty_Team
Thank you!
Your questions please...
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Sukaina Bharwani
Stockholm Environment Institute
Oxford, UK
Martin Kaltenböck
CFO, Semantic Web Company
Vienna,Austria

37. CONNECT
Martin Kaltenböck
CFO, Semantic Web Company
▸ m.kaltenboeck@semantic-web.at
▸ https://www.linkedin.com/in/martinkaltenboeck
▸ https://twitter.com/semwebcompany
▸ https://blog.semantic-web.at/
Get your free PoolParty DEMO now
http://www.poolparty.biz/test-demo/
Use Climate Tagger now
http://www.climatetagger.net/
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