Comprehensive overview over core functionalities of PoolParty Semantic Suite. Learn more about features like SKOS taxonomy management, text corpus analysis, entity extraction, or linked data publishing. Additionally, success stories and essential workflows based on PoolParty are presented.

1. Andreas Blumauer
CEO, Semantic Web Company
Helmut Nagy
COO, Semantic Web Company
POOLPARTY
SEMANTIC
SUITE
FUNCTIONAL
OVERVIEW
1

2. INTRODUCING
SEMANTIC WEB
COMPANY
(SWC) AND
POOLPARTY
Basic facts about the Company
▸ Founded in 2004
▸ Based in Vienna
▸ Privately held
▸ 30 employees, mainly experts
in text mining & linked data
▸ SWC participates in EU-
projects with a total funding
of over € 17.0 million
▸ SWC staff members are
invited experts of W3C
▸ Member of Steering Board of
the European Data Forum
About PoolParty Software
Suite
▸ First release in 2009
▸ Current version 5.2
▸ Over 100 installations world-
wide
▸ 50% of SWC’s revenue is
reinvested into development
of PoolParty
▸ PoolParty can be installed on-
premises or used as cloud
service
▸ KM World listed PoolParty as
Trend-Setting Product 2015
2

3. SELECTED
CUSTOMER
REFERENCES
AND PARTNERS
SWC
head-
quarters
3
Customer References
● Credit Suisse
● Boehringer Ingelheim
● Roche
● adidas
● The Pokémon Company
● Canadian Broadcasting Corporation
● Red Bull Media House
● Wolters Kluwer
● HealthStream
● TC Media
● Techtarget
● BMJ Publishing Group
● CafePress
● Pearson - Always Learning
● Education Services Australia
● American Physical Society
● Healthdirect Australia
● World Bank Group
● Inter-American Development Bank
● Renewable Energy Partnership
● Wood MacKenzie
● Development Initiatives
● International Atomic Energy Agency
● Norwegian Directorate of Immigration
● Ministry of Finance (AT)
● Council of the E.U.
● Australian National Data Service
● Iberley
Partners
● PwC
● EPAM Systems
● Digirati
● EBCONT
● Gravity Zero
● MarkLogic
● OpenLink Software
● Wolters Kluwer
● Data to Value
● iQuest

4. MAKE USE OF
POOLPARTY
SEMANTIC
SUITE
OVERVIEW
4

5. TECHNICAL
CORE
COMPONENTS
5
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

6. INTEGRATING
POOLPARTY
ALONGSIDE THE
CONTENT LIFE
CYCLE
6

7. BASIC
FUNCTIONALITIES
PoolParty’s core competencies
at a glance
7

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8Maintaining
Vocabularies
Taxonomies and controlled
vocabularies are maintained by
using the SKOS standard of W3C.
The intuitive user interface
provides comfortable control
elements like drag & drop or
autocomplete.
A tree view on the taxonomy
plays a central part in navigation
and orientation.

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9SKOS Editor
The SKOS View on a concept
allows the management of labels
(e.g. synonyms), hierarchies and
non-hierarchical relations, and
mappings to other vocabularies.
Also more complex actions like
merging of concepts, moving of
subtrees or the creation of poly-
hierarchies are supported.
PoolParty fully covers the SKOS
standard of W3C incl. SKOS-XL
and SKOS Collections.

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10History &
Audit Trails
Every change being made on a
concept of a thesaurus is stored
and can be tracked.
A full history containing the author,
timestamp and action being taken
can be displayed for each concept
and for the whole project.
Recovery and rollback can be
managed by PoolParty’s snapshot
mechanism.

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11Linking &
Mapping
The same concept can occur in
several taxonomies and can be put
in different contexts.
PoolParty provides a comfortable
dialogue for the semi-automatic
linking between concepts from
several thesauri.
Additionally, concepts can also be
mapped to linked data sources as
DBpedia or Geonames, or even to
non-RDF sources provided by your

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12Workflows
Approval (or rejection) of changes
on a thesaurus can be governed by
workflows.
Several roles in the PoolParty
system have different rights to
apply changes, reject or approve
those.
A clearly structured dashboard
helps taxonomists not to loose
track of all the tasks that need to
be performed.

13. SELECTED
VIDEOS
VISIT OUR
YOUTUBE
CHANNEL
13
Batch Linking
Managing Concepts History & Audit Trails
Import Excel

14. ADVANCED
FUNCTIONALITIES
Efficient taxonomy management and
text mining based on PoolParty
14

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15Entity Extraction
PoolParty’s API provides a rich set of
methods for text mining and entity
extraction.
This ultra-fast service makes use of
your controlled vocabularies,
therefore it is highly accurate for
your specific domain.
The service will improve over time
and learns from reference text
corpora. It supports over 40
languages and comes with a
powerful disambiguation algorithm.

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16Custom Schemes
& Ontologies
SKOS is based on a simple schema.
This can be expanded by additional
custom schemes.
Custom schemes can be created
with help of PoolParty’s ontology &
schema editor.
For an increased interoperability,
PoolParty provides a rich set of
preconfigured ontologies like
schema.org or FOAF.

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17Quality
Management
Data quality and especially the
quality of metadata is key to a
more efficient information
management.
PoolParty Server provides
several built-in quality checks (e.
g. to avoid circularities)
Checks can be executed at run-
time or at any time to generate a
quality report.

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18Corpus Analysis
PoolParty can automatically
analyze reference text corpora.
The calculation of a statistical
model of a ‘typical vocabulary’ of
a specific domain helps to
suggest candidate concepts for
the expansion of a taxonomy.
By this means, the quality of
term extraction improves over
time and potential relations
between concepts and terms can
be suggested by the system.

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19Linked Data
The use of Linked Data standards
increases interoperability of your
knowledge graphs & metadata.
With PoolParty, each thesaurus
and ontology can be provided as a
Linked Data graph.
In return, every linked data source
can potentially be used to enrich a
thesaurus.
PoolParty supports scenarios like
‘Enterprise Linked Data’ as well as
‘Linked Open Data’.

20. SELECTED
VIDEOS
VISIT OUR
YOUTUBE
CHANNEL
20
Corpus Analysis
Custom Schemes & Ontologies Entity Extraction
Quality Management

21. USE CASES
Success Stories about SKOS, Linked Data,
and PoolParty Semantic Suite
21

22. Use Cases for
SKOS, Linked
Data, and for
Vocabulary
Hubs
▸ Climate Tagger
Streamline and catalogue data and information resources
▸ CTCN Matchmaking Assistant
Accurate matchmaking between ‘problem statements’ and capabilities of
solution providers
▸ healthdirect Australia
Semantic Search based on the Australian Health Thesaurus
▸ Wolters Kluwer
Vocabularies as a backbone for enterprise linked data & visualization
▸ Boehringer Ingelheim
Vocabularies as means for data integration
▸ A Retailer
Personalization based on controlled vocabularies
22

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23Climate
Tagger
Help organizations in the
climate and development
arenas catalogue, categorize,
contextualize, and connect
data and information
resources.
Climate Tagger is backed by
the expansive Climate
Compatible Development
Thesaurus.
http://www.climatetagger.net

24. Place your screenshot here
24CTCN
Matchmaking
Controlled vocabularies
enable accurate
matchmaking between
‘problem statements’ and
capabilities of solution
providers.
Matchmaking is based upon
the Climate Compatible
Development Thesaurus.
Reference

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25healthdirect
Australia
Integrated views and
semantic search over more
than 100 trusted sources.
Harmonization of various
metadata systems through
the use of a central
vocabulary hub:
Australian Health Thesaurus.
http://www.healthdirect.gov.au

26. 26Wolters
Kluwer
Usage of controlled
vocabularies as part of the
semantic search architecture.
Provision of Topics Browser
to navigate topics, relations
and related documents.
Reference
http://vocabulary.
wolterskluwer.de

27. Place your screenshot here
27Boehringer
Ingelheim
Data integration based on
controlled vocabularies:
Linking of structured and
unstructured data.
Semantic search and data
analytics based on RDF
graphs and SPARQL.
Reference

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28A Retailer
Controlled vocabularies
enable personalization,
searchability of localized
content, data governance
and standardization.
Personalizing user
experiences with brands and
products is a data driven
task.
See example

29. SEE HOW
IT WORKS
Learn more about some core workflows
of PoolParty technology platform
29

30. Semi-automatic
tagging
embedded in
content
workflows
Supervised
Learning
System
30

31. Entity
Extraction
based on
Knowledge
Graphs
31

32. Unified Views
on structured &
unstructured
information
32

33. SUMMARY
WHY
TAXONOMISTS
AND
INFORMATION
ARCHITECTS
LIKE
POOLPARTY
Read more
Different project stakeholders expect specific
qualities from a semantic technology platform:33
I am a taxonomist. I need a tool that
provides convenient functionalities and
intuitive user interfaces for my daily work.
I am an information architect. Enterprise
metadata management deserves scalable
technologies, which provide semantic services
on top of rich APIs based on standards.

34. GET STARTED
34
Get your test account at
www.poolparty.biz

35. CONNECT
Andreas Blumauer
CEO, Semantic Web Company
▸ a.blumauer@semantic-web.at
▸ http://at.linkedin.com/in/andreasblumauer
▸ https://twitter.com/semwebcompany
▸ https://ablvienna.wordpress.com/
Sorry, no Facebook!
35
© Semantic Web Company - http://www.semantic-web.at/ and http://www.poolparty.biz/

36. CONNECT
Helmut Nagy
COO, Semantic Web Company
▸ h.nagy@semantic-web.at
▸ https://at.linkedin.com/in/helmutnagy
▸ https://twitter.com/semwebcompany
▸ https://blog.semantic-web.at/
36
© Semantic Web Company - http://www.semantic-web.at/ and http://www.poolparty.biz/

37. CONNECT
Nika Mizerski
PoolParty Product Management
▸ n.mizerksi@semantic-web.at
▸ https://at.linkedin.com/in/nikamizerski/en
▸ https://twitter.com/semwebcompany
▸ http://www.marketingpotentials.com/
37
© Semantic Web Company - http://www.semantic-web.at/ and http://www.poolparty.biz/